Senior Data Engineer Hybrid (flexible) Offices in Edinburgh, Aberdeen or Perth Competitive Salary + 10% Bonus Are you ready to play a pivotal role as a Data Engineer in a major greenfield project? A FTSE 100 energy company, dedicated to becoming a leader in the low carbon world, is investing £20 billion in low carbon projects by 2027. Join them on their ambitious journey towards net zero and help create a sustainable and inclusive future for everyone. The Role: As a Senior Data Engineer, you will develop and optimise data pipelines within the Microsoft data capability stack, focusing on the new Fabric data platform. Reporting to the Lead Data Engineer, you'll be part of a dynamic team driving innovation and enhancing data-driven decision-making. Key Responsibilities: Lead the design and implementation of sophisticated data models and pipelines. Collaborate with data management teams to maintain data governance and security standards. Optimise data solutions using Azure, ensuring seamless production integration. Foster a culture of continuous improvement and innovation. Translate complex business requirements into scalable data solutions. What You'll Need: Proven expertise in technical computing, analysis, design, and development. Experience designing and operating analytics solutions using Azure cloud technologies. Proficiency with Azure data resources: Data Factory, Databricks, Storage Account, SQL Database, SQL Data Warehouse. Senior-level experience in data engineering, including designing data models and ETL pipelines, engineering robust solutions, and conducting testing and QA. Expertise in Azure DevOps, with a focus on source repository control, CI/CD, and change control best practices. Join our team and make a tangible impact on the future of energy. Apply now and help us power change!
31/05/2024
Full time
Senior Data Engineer Hybrid (flexible) Offices in Edinburgh, Aberdeen or Perth Competitive Salary + 10% Bonus Are you ready to play a pivotal role as a Data Engineer in a major greenfield project? A FTSE 100 energy company, dedicated to becoming a leader in the low carbon world, is investing £20 billion in low carbon projects by 2027. Join them on their ambitious journey towards net zero and help create a sustainable and inclusive future for everyone. The Role: As a Senior Data Engineer, you will develop and optimise data pipelines within the Microsoft data capability stack, focusing on the new Fabric data platform. Reporting to the Lead Data Engineer, you'll be part of a dynamic team driving innovation and enhancing data-driven decision-making. Key Responsibilities: Lead the design and implementation of sophisticated data models and pipelines. Collaborate with data management teams to maintain data governance and security standards. Optimise data solutions using Azure, ensuring seamless production integration. Foster a culture of continuous improvement and innovation. Translate complex business requirements into scalable data solutions. What You'll Need: Proven expertise in technical computing, analysis, design, and development. Experience designing and operating analytics solutions using Azure cloud technologies. Proficiency with Azure data resources: Data Factory, Databricks, Storage Account, SQL Database, SQL Data Warehouse. Senior-level experience in data engineering, including designing data models and ETL pipelines, engineering robust solutions, and conducting testing and QA. Expertise in Azure DevOps, with a focus on source repository control, CI/CD, and change control best practices. Join our team and make a tangible impact on the future of energy. Apply now and help us power change!
Senior Data Engineer Hybrid (flexible) Scotland £45 - 60K + 10% Bonus Are you ready to play a pivotal role as a Data Engineer in a major greenfield project? A FTSE 100 energy company, dedicated to becoming a leader in the low carbon world, is investing £20 billion in low carbon projects by 2027. Join them on their ambitious journey towards net zero and help create a sustainable and inclusive future for everyone. The Role: As a Senior Data Engineer, you will develop and optimise data pipelines within the Microsoft data capability stack, focusing on the new Fabric data platform. Reporting to the Lead Data Engineer, you'll be part of a dynamic team driving innovation and enhancing data-driven decision-making. Key Responsibilities: Lead the design and implementation of sophisticated data models and pipelines. Collaborate with data management teams to maintain data governance and security standards. Optimise data solutions using Azure, ensuring seamless production integration. Foster a culture of continuous improvement and innovation. Translate complex business requirements into scalable data solutions. What You'll Need: Proven expertise in technical computing, analysis, design, and development. Experience designing and operating analytics solutions using Azure cloud technologies. Proficiency with Azure data resources: Data Factory, Databricks, Storage Account, SQL Database, SQL Data Warehouse. Senior-level experience in data engineering, including designing data models and ETL pipelines, engineering robust solutions, and conducting testing and QA. Expertise in Azure DevOps, with a focus on source repository control, CI/CD, and change control best practices. Join our team and make a tangible impact on the future of energy. Apply now and help us power change!
31/05/2024
Full time
Senior Data Engineer Hybrid (flexible) Scotland £45 - 60K + 10% Bonus Are you ready to play a pivotal role as a Data Engineer in a major greenfield project? A FTSE 100 energy company, dedicated to becoming a leader in the low carbon world, is investing £20 billion in low carbon projects by 2027. Join them on their ambitious journey towards net zero and help create a sustainable and inclusive future for everyone. The Role: As a Senior Data Engineer, you will develop and optimise data pipelines within the Microsoft data capability stack, focusing on the new Fabric data platform. Reporting to the Lead Data Engineer, you'll be part of a dynamic team driving innovation and enhancing data-driven decision-making. Key Responsibilities: Lead the design and implementation of sophisticated data models and pipelines. Collaborate with data management teams to maintain data governance and security standards. Optimise data solutions using Azure, ensuring seamless production integration. Foster a culture of continuous improvement and innovation. Translate complex business requirements into scalable data solutions. What You'll Need: Proven expertise in technical computing, analysis, design, and development. Experience designing and operating analytics solutions using Azure cloud technologies. Proficiency with Azure data resources: Data Factory, Databricks, Storage Account, SQL Database, SQL Data Warehouse. Senior-level experience in data engineering, including designing data models and ETL pipelines, engineering robust solutions, and conducting testing and QA. Expertise in Azure DevOps, with a focus on source repository control, CI/CD, and change control best practices. Join our team and make a tangible impact on the future of energy. Apply now and help us power change!
Warehouse Logistics Consultant We are seeking a resourceful logistics consultant to enhance our business's logistical operations. You will be assessing logistical processes, developing improvement plans, and overseeing the implementation of new supply chain strategies as well as automation. To ensure success as a logistics consultant, you should demonstrate extensive experience as a logistics consultant in a related industry and the ability to implement improvement strategies. A first-class logistics consultant will be someone whose expertise translates into optimized efficiency and increased profitability. Logistics Consultant Responsibilities: Evaluating logistical processes to identify strengths and weaknesses. Analysing supply chain data and assessing risks. Developing cost-effective solutions and interventions to optimize logistical efficiency. Presenting improvement plans to senior managers for approval. Conveying improvement strategies to individual managers, employees, and departments, as well as facilitating training sessions. Overseeing the implementation of improvement plans, as well as providing guidance and support. Optimising communication channels with customers, vendors, and suppliers. Evaluating the impact of improvement strategies and adjusting as needed. Documenting improvement plans, setting deadlines, and monitoring progress. Logistics Consultant Requirements: Bachelor's degree in business, supply chain management, industrial engineering, or similar. Master's degree in business administration preferred. A minimum of three years' experience as a logistical consultant in a related industry. Extensive knowledge of supply chain management. Exceptional analytical, strategic thinking, and problem-solving abilities. Excellent organisational and time-management skills. Superb leadership and collaboration capabilities. Great interpersonal and communication skills.
30/05/2024
Project-based
Warehouse Logistics Consultant We are seeking a resourceful logistics consultant to enhance our business's logistical operations. You will be assessing logistical processes, developing improvement plans, and overseeing the implementation of new supply chain strategies as well as automation. To ensure success as a logistics consultant, you should demonstrate extensive experience as a logistics consultant in a related industry and the ability to implement improvement strategies. A first-class logistics consultant will be someone whose expertise translates into optimized efficiency and increased profitability. Logistics Consultant Responsibilities: Evaluating logistical processes to identify strengths and weaknesses. Analysing supply chain data and assessing risks. Developing cost-effective solutions and interventions to optimize logistical efficiency. Presenting improvement plans to senior managers for approval. Conveying improvement strategies to individual managers, employees, and departments, as well as facilitating training sessions. Overseeing the implementation of improvement plans, as well as providing guidance and support. Optimising communication channels with customers, vendors, and suppliers. Evaluating the impact of improvement strategies and adjusting as needed. Documenting improvement plans, setting deadlines, and monitoring progress. Logistics Consultant Requirements: Bachelor's degree in business, supply chain management, industrial engineering, or similar. Master's degree in business administration preferred. A minimum of three years' experience as a logistical consultant in a related industry. Extensive knowledge of supply chain management. Exceptional analytical, strategic thinking, and problem-solving abilities. Excellent organisational and time-management skills. Superb leadership and collaboration capabilities. Great interpersonal and communication skills.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Principal, Data Architecture. This principal will focus on data architecture and design to support all IT departments throughout the company. These responsibilities include design of data lakes, data warehouses, data messaging, data modelling, data science, etc. The company wants someone with 10+ years of data architect/engineering/DBA work experience. Responsibilities: Design the data architecture of organization to support data driven vision Create design and blueprint of the data capabilities for the organization within the data framework Analyze structural requirements for new solutions and applications Optimize new and current database systems Responsible for requirements-based analysis and selection of data tools Responsible for setting up and enforcement of Data Modeling standards Responsible for creating logical and conceptual data models Ensure that data architecture principles are adhered to across the enterprise Assist in building data taxonomy and aligning it with business processes Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues Communicates and validates program architecture with infrastructure, project management and technology services teams. Conducts end to end technical plan design. Develop enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment. Design and develop infrastructure and solution documentation and blueprints. Develops specifications for solutions integrations. Maintain documentation library on standard procedures and approved solution configurations. Qualifications: 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead Bachelor's degree or higher in a technical field Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC Experience in solution integration and operability. Experience working with Infrastructure Technologies and Teams. Experience using Service-now or similar
30/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Principal, Data Architecture. This principal will focus on data architecture and design to support all IT departments throughout the company. These responsibilities include design of data lakes, data warehouses, data messaging, data modelling, data science, etc. The company wants someone with 10+ years of data architect/engineering/DBA work experience. Responsibilities: Design the data architecture of organization to support data driven vision Create design and blueprint of the data capabilities for the organization within the data framework Analyze structural requirements for new solutions and applications Optimize new and current database systems Responsible for requirements-based analysis and selection of data tools Responsible for setting up and enforcement of Data Modeling standards Responsible for creating logical and conceptual data models Ensure that data architecture principles are adhered to across the enterprise Assist in building data taxonomy and aligning it with business processes Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues Communicates and validates program architecture with infrastructure, project management and technology services teams. Conducts end to end technical plan design. Develop enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment. Design and develop infrastructure and solution documentation and blueprints. Develops specifications for solutions integrations. Maintain documentation library on standard procedures and approved solution configurations. Qualifications: 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead Bachelor's degree or higher in a technical field Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC Experience in solution integration and operability. Experience working with Infrastructure Technologies and Teams. Experience using Service-now or similar
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Principal Data Architect with Kafka and Data Lakes experience. Candidate will be responsible for data architecture and design to support all IT areas of the business. This role will establish standards, coordinate solution design with subject matter owners, document and design solutions and ensure strategic goals are met at the operational level. The role will be a primary contributor to the Joint Technology Strategy and oversee and conduct evaluations of technology and process during proofs-of-concept/value. Responsibilities: Design the data architecture of organization to support data driven vision Create design and blueprint of the data capabilities for the organization within the data framework Analyze structural requirements for new solutions and applications Optimize new and current database systems Responsible for requirements-based analysis and selection of data tools Responsible for setting up and enforcement of Data Modeling standards Responsible for creating logical and conceptual data models Ensure that data architecture principles are adhered to across the enterprise Assist in building data taxonomy and aligning it with business processes Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues Advises team of IT technology standards requirements, methodologies, and processes. Drives short and long term architecture strategy for the overall IT project portfolio for key business segments. Responsible for comprehensive infrastructure designs including all aspects of IT. Participates in proof of concepts to assist in defining technology direction and enabling business strategy. Communicates and validates program architecture with infrastructure, project management and technology services teams. Conducts end to end technical plan design. Develop enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment. Design and develop infrastructure and solution documentation and blueprints. Responsible for impact analysis and design modifications of existing systems to support new solutions and integrations. Develops specifications for solutions integrations. Maintain documentation library on standard procedures and approved solution configurations. Communicate and coordinate between IT, Application Development, Operations, and Management. Uses traditional and Agile project/product approaches to execute projects and achieve business outcomes. Drive business results through process and informal leadership. Qualifications: Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions [Required] Ability to prioritize critical versus non-critical issues and communicate effectively to management. [Required] Proven ability to contribute consistently and positively in a dynamic, fast-paced, and highly regulated environment. [Required] Proven ability to facilitate project alignment between business and technical teams. [Required] Demonstrated ability to dig beyond the surface to uncover root causes and offer solutions that could deliver effective and efficient outcomes. [Required] Experience operating in a collaborative environment to solve cross-functional problems. [Required] Self-directed and detail oriented. [Required] Highly effective organization and planning skills. Technical Skills: Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC [Required] Experience in extracting and developing technical requirements from business goals and needs. [Required] Experience in solution integration and operability. [Required] Experience working with Infrastructure Technologies and Teams. [Required] Proficiency in using Microsoft Office products (Word, Excel, PowerPoint, Visio) [Required] Experience using Service-now or similar [Required] 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead [Preferred] Bachelor's degree or higher in a technical field [Preferred] Process improvement certifications such as Lean/Six Sigma [Preferred] IT service or process management certifications such as ITIL or ITAM
29/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Principal Data Architect with Kafka and Data Lakes experience. Candidate will be responsible for data architecture and design to support all IT areas of the business. This role will establish standards, coordinate solution design with subject matter owners, document and design solutions and ensure strategic goals are met at the operational level. The role will be a primary contributor to the Joint Technology Strategy and oversee and conduct evaluations of technology and process during proofs-of-concept/value. Responsibilities: Design the data architecture of organization to support data driven vision Create design and blueprint of the data capabilities for the organization within the data framework Analyze structural requirements for new solutions and applications Optimize new and current database systems Responsible for requirements-based analysis and selection of data tools Responsible for setting up and enforcement of Data Modeling standards Responsible for creating logical and conceptual data models Ensure that data architecture principles are adhered to across the enterprise Assist in building data taxonomy and aligning it with business processes Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues Advises team of IT technology standards requirements, methodologies, and processes. Drives short and long term architecture strategy for the overall IT project portfolio for key business segments. Responsible for comprehensive infrastructure designs including all aspects of IT. Participates in proof of concepts to assist in defining technology direction and enabling business strategy. Communicates and validates program architecture with infrastructure, project management and technology services teams. Conducts end to end technical plan design. Develop enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment. Design and develop infrastructure and solution documentation and blueprints. Responsible for impact analysis and design modifications of existing systems to support new solutions and integrations. Develops specifications for solutions integrations. Maintain documentation library on standard procedures and approved solution configurations. Communicate and coordinate between IT, Application Development, Operations, and Management. Uses traditional and Agile project/product approaches to execute projects and achieve business outcomes. Drive business results through process and informal leadership. Qualifications: Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions [Required] Ability to prioritize critical versus non-critical issues and communicate effectively to management. [Required] Proven ability to contribute consistently and positively in a dynamic, fast-paced, and highly regulated environment. [Required] Proven ability to facilitate project alignment between business and technical teams. [Required] Demonstrated ability to dig beyond the surface to uncover root causes and offer solutions that could deliver effective and efficient outcomes. [Required] Experience operating in a collaborative environment to solve cross-functional problems. [Required] Self-directed and detail oriented. [Required] Highly effective organization and planning skills. Technical Skills: Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC [Required] Experience in extracting and developing technical requirements from business goals and needs. [Required] Experience in solution integration and operability. [Required] Experience working with Infrastructure Technologies and Teams. [Required] Proficiency in using Microsoft Office products (Word, Excel, PowerPoint, Visio) [Required] Experience using Service-now or similar [Required] 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead [Preferred] Bachelor's degree or higher in a technical field [Preferred] Process improvement certifications such as Lean/Six Sigma [Preferred] IT service or process management certifications such as ITIL or ITAM
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Principal Data Architect with Kafka and Data Lakes experience. Candidate will be responsible for data architecture and design to support all IT areas of the business. This role will establish standards, coordinate solution design with subject matter owners, document and design solutions and ensure strategic goals are met at the operational level. The role will be a primary contributor to the Joint Technology Strategy and oversee and conduct evaluations of technology and process during proofs-of-concept/value. Responsibilities: Design the data architecture of organization to support data driven vision Create design and blueprint of the data capabilities for the organization within the data framework Analyze structural requirements for new solutions and applications Optimize new and current database systems Responsible for requirements-based analysis and selection of data tools Responsible for setting up and enforcement of Data Modeling standards Responsible for creating logical and conceptual data models Ensure that data architecture principles are adhered to across the enterprise Assist in building data taxonomy and aligning it with business processes Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues Advises team of IT technology standards requirements, methodologies, and processes. Drives short and long term architecture strategy for the overall IT project portfolio for key business segments. Responsible for comprehensive infrastructure designs including all aspects of IT. Participates in proof of concepts to assist in defining technology direction and enabling business strategy. Communicates and validates program architecture with infrastructure, project management and technology services teams. Conducts end to end technical plan design. Develop enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment. Design and develop infrastructure and solution documentation and blueprints. Responsible for impact analysis and design modifications of existing systems to support new solutions and integrations. Develops specifications for solutions integrations. Maintain documentation library on standard procedures and approved solution configurations. Communicate and coordinate between IT, Application Development, Operations, and Management. Uses traditional and Agile project/product approaches to execute projects and achieve business outcomes. Drive business results through process and informal leadership. Qualifications: Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions [Required] Ability to prioritize critical versus non-critical issues and communicate effectively to management. [Required] Proven ability to contribute consistently and positively in a dynamic, fast-paced, and highly regulated environment. [Required] Proven ability to facilitate project alignment between business and technical teams. [Required] Demonstrated ability to dig beyond the surface to uncover root causes and offer solutions that could deliver effective and efficient outcomes. [Required] Experience operating in a collaborative environment to solve cross-functional problems. [Required] Self-directed and detail oriented. [Required] Highly effective organization and planning skills. Technical Skills: Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC [Required] Experience in extracting and developing technical requirements from business goals and needs. [Required] Experience in solution integration and operability. [Required] Experience working with Infrastructure Technologies and Teams. [Required] Proficiency in using Microsoft Office products (Word, Excel, PowerPoint, Visio) [Required] Experience using Service-now or similar [Required] 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead [Preferred] Bachelor's degree or higher in a technical field [Preferred] Process improvement certifications such as Lean/Six Sigma [Preferred] IT service or process management certifications such as ITIL or ITAM
29/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Principal Data Architect with Kafka and Data Lakes experience. Candidate will be responsible for data architecture and design to support all IT areas of the business. This role will establish standards, coordinate solution design with subject matter owners, document and design solutions and ensure strategic goals are met at the operational level. The role will be a primary contributor to the Joint Technology Strategy and oversee and conduct evaluations of technology and process during proofs-of-concept/value. Responsibilities: Design the data architecture of organization to support data driven vision Create design and blueprint of the data capabilities for the organization within the data framework Analyze structural requirements for new solutions and applications Optimize new and current database systems Responsible for requirements-based analysis and selection of data tools Responsible for setting up and enforcement of Data Modeling standards Responsible for creating logical and conceptual data models Ensure that data architecture principles are adhered to across the enterprise Assist in building data taxonomy and aligning it with business processes Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues Advises team of IT technology standards requirements, methodologies, and processes. Drives short and long term architecture strategy for the overall IT project portfolio for key business segments. Responsible for comprehensive infrastructure designs including all aspects of IT. Participates in proof of concepts to assist in defining technology direction and enabling business strategy. Communicates and validates program architecture with infrastructure, project management and technology services teams. Conducts end to end technical plan design. Develop enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment. Design and develop infrastructure and solution documentation and blueprints. Responsible for impact analysis and design modifications of existing systems to support new solutions and integrations. Develops specifications for solutions integrations. Maintain documentation library on standard procedures and approved solution configurations. Communicate and coordinate between IT, Application Development, Operations, and Management. Uses traditional and Agile project/product approaches to execute projects and achieve business outcomes. Drive business results through process and informal leadership. Qualifications: Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions [Required] Ability to prioritize critical versus non-critical issues and communicate effectively to management. [Required] Proven ability to contribute consistently and positively in a dynamic, fast-paced, and highly regulated environment. [Required] Proven ability to facilitate project alignment between business and technical teams. [Required] Demonstrated ability to dig beyond the surface to uncover root causes and offer solutions that could deliver effective and efficient outcomes. [Required] Experience operating in a collaborative environment to solve cross-functional problems. [Required] Self-directed and detail oriented. [Required] Highly effective organization and planning skills. Technical Skills: Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC [Required] Experience in extracting and developing technical requirements from business goals and needs. [Required] Experience in solution integration and operability. [Required] Experience working with Infrastructure Technologies and Teams. [Required] Proficiency in using Microsoft Office products (Word, Excel, PowerPoint, Visio) [Required] Experience using Service-now or similar [Required] 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead [Preferred] Bachelor's degree or higher in a technical field [Preferred] Process improvement certifications such as Lean/Six Sigma [Preferred] IT service or process management certifications such as ITIL or ITAM
NO SPONSORSHIP Principal, Data Architecture SALARY: $195k - $200k plus 27% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote Looking for a candidate that does data architecture and design. Datalakes, data warehouse solutions. schema designs relational nonrelational data messaging design of data science data analytics Kafka and protocol buffers SQL no SQL tableau power bi presto/trino data lakes avro parquet ORC infrastructure technologies ServiceNow or similar. 10 years as a senior data architect data engineer DBA lead logical and conceptual data models data modelling standards data taxonomy data governance Qualifications: The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions. Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC [Required] Experience in extracting and developing technical requirements from business goals and needs. [Required] Experience in solution integration and operability. [Required] Experience working with Infrastructure Technologies and Teams. [Required] Proficiency in using Microsoft Office products (Word, Excel, PowerPoint, Visio) [Required] Experience using Service-now or similar Education and/or Experience: 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead
29/05/2024
Full time
NO SPONSORSHIP Principal, Data Architecture SALARY: $195k - $200k plus 27% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote Looking for a candidate that does data architecture and design. Datalakes, data warehouse solutions. schema designs relational nonrelational data messaging design of data science data analytics Kafka and protocol buffers SQL no SQL tableau power bi presto/trino data lakes avro parquet ORC infrastructure technologies ServiceNow or similar. 10 years as a senior data architect data engineer DBA lead logical and conceptual data models data modelling standards data taxonomy data governance Qualifications: The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions. Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC [Required] Experience in extracting and developing technical requirements from business goals and needs. [Required] Experience in solution integration and operability. [Required] Experience working with Infrastructure Technologies and Teams. [Required] Proficiency in using Microsoft Office products (Word, Excel, PowerPoint, Visio) [Required] Experience using Service-now or similar Education and/or Experience: 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Principal, Data Architecture. This principal will focus on data architecture and design to support all IT departments throughout the company. These responsibilities include design of data lakes, data warehouses, data messaging, data modelling, data science, etc. The company wants someone with 10+ years of data architect/engineering/DBA work experience. Responsibilities: Design the data architecture of organization to support data driven vision Create design and blueprint of the data capabilities for the organization within the data framework Analyze structural requirements for new solutions and applications Optimize new and current database systems Responsible for requirements-based analysis and selection of data tools Responsible for setting up and enforcement of Data Modeling standards Responsible for creating logical and conceptual data models Ensure that data architecture principles are adhered to across the enterprise Assist in building data taxonomy and aligning it with business processes Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues Communicates and validates program architecture with infrastructure, project management and technology services teams. Conducts end to end technical plan design. Develop enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment. Design and develop infrastructure and solution documentation and blueprints. Develops specifications for solutions integrations. Maintain documentation library on standard procedures and approved solution configurations. Qualifications: 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead Bachelor's degree or higher in a technical field Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC Experience in solution integration and operability. Experience working with Infrastructure Technologies and Teams. Experience using Service-now or similar
29/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Principal, Data Architecture. This principal will focus on data architecture and design to support all IT departments throughout the company. These responsibilities include design of data lakes, data warehouses, data messaging, data modelling, data science, etc. The company wants someone with 10+ years of data architect/engineering/DBA work experience. Responsibilities: Design the data architecture of organization to support data driven vision Create design and blueprint of the data capabilities for the organization within the data framework Analyze structural requirements for new solutions and applications Optimize new and current database systems Responsible for requirements-based analysis and selection of data tools Responsible for setting up and enforcement of Data Modeling standards Responsible for creating logical and conceptual data models Ensure that data architecture principles are adhered to across the enterprise Assist in building data taxonomy and aligning it with business processes Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues Communicates and validates program architecture with infrastructure, project management and technology services teams. Conducts end to end technical plan design. Develop enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment. Design and develop infrastructure and solution documentation and blueprints. Develops specifications for solutions integrations. Maintain documentation library on standard procedures and approved solution configurations. Qualifications: 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead Bachelor's degree or higher in a technical field Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC Experience in solution integration and operability. Experience working with Infrastructure Technologies and Teams. Experience using Service-now or similar