Data Management Lead London - Hybrid £80,000 - £90,000 VIQU has partnered with one of the UK's leading brands, currently seeking a Data Management Lead to join their developing data team as they continue to go from strength to strength. Committed to excellence, they aim to lead the field with their expertise in data and technology. The organisation has restructured its operations to better serve customers, adopt cutting-edge technologies, and drive exceptional business growth. The Data Management Lead will work closely with data governance, engineering and business teams, playing a key role in shaping and managing the organisation's data practices. This will include maintaining data quality, governance, and ensuring compliance across all areas. The successful Data Management Lead will be responsible for building and deploying effective data management structures for the company's Enterprise Data Foundation, with the implementation being guided by relevant use cases. Key Responsibilities of the Data Management Lead: Ensure data integrity by maintaining accuracy, consistency, and trust across systems. Establish clear data flow tracking and enforce strong governance practices to maintain control. Oversee compliance with data privacy regulations and work closely with IT to secure sensitive information. Manage master data to ensure consistency across all platforms and systems. Collaborate across teams to embed data management best practices throughout the data life cycle. Drive awareness of data management policies through focused training and education programmes. Implement tools and KPIs to monitor and continuously improve the quality of key data assets. Essential Requirements of the Data Management Lead: In-depth understanding of the insurance industry and its specific data needs. Proven track record in creating and executing strategic roadmaps and implementation plans. Hands-on experience with data governance, quality management, metadata, lineage, and master/reference data strategies, including compliance. Proficiency in using data management platforms such as Purview, Collibra, and Informatica. Experience with cloud-based data platforms like Azure, and familiarity with data governance tools. Strong ability to collaborate with diverse teams to design and implement effective data management solutions. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Katie Dark on (see below) . If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply). Data Management Lead London - Hybrid £80,000 - £90,000
23/12/2024
Full time
Data Management Lead London - Hybrid £80,000 - £90,000 VIQU has partnered with one of the UK's leading brands, currently seeking a Data Management Lead to join their developing data team as they continue to go from strength to strength. Committed to excellence, they aim to lead the field with their expertise in data and technology. The organisation has restructured its operations to better serve customers, adopt cutting-edge technologies, and drive exceptional business growth. The Data Management Lead will work closely with data governance, engineering and business teams, playing a key role in shaping and managing the organisation's data practices. This will include maintaining data quality, governance, and ensuring compliance across all areas. The successful Data Management Lead will be responsible for building and deploying effective data management structures for the company's Enterprise Data Foundation, with the implementation being guided by relevant use cases. Key Responsibilities of the Data Management Lead: Ensure data integrity by maintaining accuracy, consistency, and trust across systems. Establish clear data flow tracking and enforce strong governance practices to maintain control. Oversee compliance with data privacy regulations and work closely with IT to secure sensitive information. Manage master data to ensure consistency across all platforms and systems. Collaborate across teams to embed data management best practices throughout the data life cycle. Drive awareness of data management policies through focused training and education programmes. Implement tools and KPIs to monitor and continuously improve the quality of key data assets. Essential Requirements of the Data Management Lead: In-depth understanding of the insurance industry and its specific data needs. Proven track record in creating and executing strategic roadmaps and implementation plans. Hands-on experience with data governance, quality management, metadata, lineage, and master/reference data strategies, including compliance. Proficiency in using data management platforms such as Purview, Collibra, and Informatica. Experience with cloud-based data platforms like Azure, and familiarity with data governance tools. Strong ability to collaborate with diverse teams to design and implement effective data management solutions. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Katie Dark on (see below) . If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply). Data Management Lead London - Hybrid £80,000 - £90,000
Job Title: Data Architect Location: Remote (UK-based) Salary: £70 - £80k A leading UK-based healthcare organisation are undergoing an exciting period of digital transformation. This is a fantastic opportunity for a skilled Data Architect to play a pivotal role in shaping the enterprise data strategy and transforming the data landscape of a large, fast-paced organisation dedicated to providing high-quality services. The successful candidate will design, implement, and maintain a robust data architecture framework, ensuring data quality, governance, and enabling data-driven decision-making across the organisation. This is a permanent, primarily remote role with occasional travel across the UK. Duties: Develop and execute a strategic data architecture blueprint. Establish comprehensive data architecture standards and principles. Lead the Data Architecture strategy, focusing on data sourcing and mastering approaches. Manage the organisation's data catalogue, ensuring consistent and high-quality metadata. Act as a strategic advisor within the organisation's data programme. Align data, technical, and business architecture across the organisation. Promote best practices and improve organisational data maturity. Experience: Degree-level education or equivalent experience. Minimum 8 years of experience in Data Architecture. Proven track record of delivering enterprise-wide data solutions. Expert knowledge of data architecture principles and methodologies. Strong leadership and influencing skills. Flexibility for occasional UK-wide travel. Willingness to work extended hours when required. This is an exciting opportunity to join a supportive organisation that values its people and provides the chance to make a real impact in a fast-moving environment. If you're an experienced Data Architect looking for your next challenge, please apply with your CV for consideration.
19/12/2024
Full time
Job Title: Data Architect Location: Remote (UK-based) Salary: £70 - £80k A leading UK-based healthcare organisation are undergoing an exciting period of digital transformation. This is a fantastic opportunity for a skilled Data Architect to play a pivotal role in shaping the enterprise data strategy and transforming the data landscape of a large, fast-paced organisation dedicated to providing high-quality services. The successful candidate will design, implement, and maintain a robust data architecture framework, ensuring data quality, governance, and enabling data-driven decision-making across the organisation. This is a permanent, primarily remote role with occasional travel across the UK. Duties: Develop and execute a strategic data architecture blueprint. Establish comprehensive data architecture standards and principles. Lead the Data Architecture strategy, focusing on data sourcing and mastering approaches. Manage the organisation's data catalogue, ensuring consistent and high-quality metadata. Act as a strategic advisor within the organisation's data programme. Align data, technical, and business architecture across the organisation. Promote best practices and improve organisational data maturity. Experience: Degree-level education or equivalent experience. Minimum 8 years of experience in Data Architecture. Proven track record of delivering enterprise-wide data solutions. Expert knowledge of data architecture principles and methodologies. Strong leadership and influencing skills. Flexibility for occasional UK-wide travel. Willingness to work extended hours when required. This is an exciting opportunity to join a supportive organisation that values its people and provides the chance to make a real impact in a fast-moving environment. If you're an experienced Data Architect looking for your next challenge, please apply with your CV for consideration.
Request Technology - Craig Johnson
Alpharetta, Georgia
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Enterprise Company is currently seeking an Enterprise Data Architect with Azure Cloud and MDM experience. Candidate will be responsible for developing data architecture plans and driving the plans to fruition in collaboration with business and IT. You will play a key role in driving a number of data and analytics initiatives including: cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science. Candidate will define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption, as well as guide the data science team in implementing data models and analytics models. You will also serve as a data science architect delivering the technology and architecture services to the data science community. Responsibilities: Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state. Recommend long-term direction on strategic advancements within the technical portfolio. Define and maintain standards for artifacts containing architectural content within the operating model. Build a Community of Practice for solutions architecture while leveraging architectural tools, processes, and practices. Offer insight, guidance, and direction on the usage of emerging trends and technical capabilities. Qualifications Strong cloud data architecture knowledge (preference for Microsoft Azure). Experience developing architecture strategies and plans to enable cloud data transformation, MDM, data governance, and data science capabilities. Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, Real Time, and near Real Time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses. Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB). Capable of communicating data concepts to varied forums and audiences (including business and technology), and advocating for the importance of data quality, data standards, managed replication, and co-existent/federated data in an enterprise data eco-system. Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc. Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka. Experience with Microsoft CoPilot, and exposure to TensorFlow, Python NLTK are a plus
17/12/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Enterprise Company is currently seeking an Enterprise Data Architect with Azure Cloud and MDM experience. Candidate will be responsible for developing data architecture plans and driving the plans to fruition in collaboration with business and IT. You will play a key role in driving a number of data and analytics initiatives including: cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science. Candidate will define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption, as well as guide the data science team in implementing data models and analytics models. You will also serve as a data science architect delivering the technology and architecture services to the data science community. Responsibilities: Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state. Recommend long-term direction on strategic advancements within the technical portfolio. Define and maintain standards for artifacts containing architectural content within the operating model. Build a Community of Practice for solutions architecture while leveraging architectural tools, processes, and practices. Offer insight, guidance, and direction on the usage of emerging trends and technical capabilities. Qualifications Strong cloud data architecture knowledge (preference for Microsoft Azure). Experience developing architecture strategies and plans to enable cloud data transformation, MDM, data governance, and data science capabilities. Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, Real Time, and near Real Time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses. Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB). Capable of communicating data concepts to varied forums and audiences (including business and technology), and advocating for the importance of data quality, data standards, managed replication, and co-existent/federated data in an enterprise data eco-system. Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc. Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka. Experience with Microsoft CoPilot, and exposure to TensorFlow, Python NLTK are a plus
NO SPONSORSHIP DATA ARCHITECTURE SALARY: $161K - $200K plus 12% bonus LOCATION: Remote except in : California, Delaware, District of Columbia, Kentucky, New Hampshire, New Jersey, New York, Pennsylvania, Vermont, West Virgina You will be developing data architecture plans for cloud data transformation, data governance, data quality, data standards. CRM MDM generative AI and data science Microsoft azure Real Time integration ETL data warehousing data catalog analytics BI operation datastores azure data bricks azure AD azure ML cloud era Spark sqoop Hive HDFS flume storm and kafka This role will be responsible for developing data architecture plans and driving the plans to fruition in collaboration with business and IT. You will play a key role in driving a number of data and analytics initiatives including: cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science. You will define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption. You will also guide the data science team in implementing data models and analytics models. You will also serve as a data science architect delivering the technology and architecture services to the data science community. In addition, you will also guide application development teams in the data design of complex solutions, in a large data eco-system, and ensures that teams are in alignment with the data architecture principles, standards, strategies, and target states. Qualifications: Strong cloud data architecture knowledge (preference for Microsoft Azure) Experience developing architecture strategies and plans to enable cloud data transformation, MDM, data governance, and data science capabilities. Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, Real Time, and near Real Time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses. Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB). Capable of communicating data concepts to varied forums and audiences (including business and technology), and advocating for the importance of data quality, data standards, managed replication, and co-existent/federated data in an enterprise data eco-system. Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc. Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka. Experience with Microsoft CoPilot, and exposure to TensorFlow, Python NLTK are a plus Typically requires 17 years of relevant experience or a combination of related experience, education and training.
17/12/2024
Full time
NO SPONSORSHIP DATA ARCHITECTURE SALARY: $161K - $200K plus 12% bonus LOCATION: Remote except in : California, Delaware, District of Columbia, Kentucky, New Hampshire, New Jersey, New York, Pennsylvania, Vermont, West Virgina You will be developing data architecture plans for cloud data transformation, data governance, data quality, data standards. CRM MDM generative AI and data science Microsoft azure Real Time integration ETL data warehousing data catalog analytics BI operation datastores azure data bricks azure AD azure ML cloud era Spark sqoop Hive HDFS flume storm and kafka This role will be responsible for developing data architecture plans and driving the plans to fruition in collaboration with business and IT. You will play a key role in driving a number of data and analytics initiatives including: cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science. You will define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption. You will also guide the data science team in implementing data models and analytics models. You will also serve as a data science architect delivering the technology and architecture services to the data science community. In addition, you will also guide application development teams in the data design of complex solutions, in a large data eco-system, and ensures that teams are in alignment with the data architecture principles, standards, strategies, and target states. Qualifications: Strong cloud data architecture knowledge (preference for Microsoft Azure) Experience developing architecture strategies and plans to enable cloud data transformation, MDM, data governance, and data science capabilities. Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, Real Time, and near Real Time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses. Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB). Capable of communicating data concepts to varied forums and audiences (including business and technology), and advocating for the importance of data quality, data standards, managed replication, and co-existent/federated data in an enterprise data eco-system. Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc. Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka. Experience with Microsoft CoPilot, and exposure to TensorFlow, Python NLTK are a plus Typically requires 17 years of relevant experience or a combination of related experience, education and training.
*We are unable to sponsor as this is a permanent Full time role* *Remote except in: California, Delaware, District of Columbia, Kentucky, New Hampshire, New Jersey, New York, Pennsylvania, Vermont, West Virgina* A prestigious company is looking for a Data Architect. This architect will focus on enterprise data architecture which includes cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science. Responsibilities: This role will be responsible for developing data architecture plans and driving the plans to fruition in collaboration with business and IT. Play a key role in driving a number of data and analytics initiatives including: cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science. Define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption. Guide the data science team in implementing data models and analytics models. Serve as a data science architect delivering technology and architecture services to the data science community. In addition, you will also guide application development teams in the data design of complex solutions, in a large data eco-system, and ensure that teams are in alignment with the data architecture principles, standards, strategies, and target states. Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state. Define and maintain standards for artifacts containing architectural content within the operating model. Build a Community of Practice for solutions architecture while leveraging architectural tools, processes, and practices. Qualifications: Strong cloud data architecture knowledge (preference for Microsoft Azure) Experience developing architecture strategies and plans to enable cloud data transformation, MDM, data governance, and data science capabilities. Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, Real Time, and near Real Time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses. Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB). Capable of communicating data concepts to varied forums and audiences (including business and technology), and advocating for the importance of data quality, data standards, managed replication, and co-existent/federated data in an enterprise data eco-system. Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc. Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka. Experience with Microsoft CoPilot, and exposure to TensorFlow, Python NLTK are a plus Typically requires 17 years of relevant experience or a combination of related experience, education and training.
17/12/2024
Full time
*We are unable to sponsor as this is a permanent Full time role* *Remote except in: California, Delaware, District of Columbia, Kentucky, New Hampshire, New Jersey, New York, Pennsylvania, Vermont, West Virgina* A prestigious company is looking for a Data Architect. This architect will focus on enterprise data architecture which includes cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science. Responsibilities: This role will be responsible for developing data architecture plans and driving the plans to fruition in collaboration with business and IT. Play a key role in driving a number of data and analytics initiatives including: cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science. Define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption. Guide the data science team in implementing data models and analytics models. Serve as a data science architect delivering technology and architecture services to the data science community. In addition, you will also guide application development teams in the data design of complex solutions, in a large data eco-system, and ensure that teams are in alignment with the data architecture principles, standards, strategies, and target states. Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state. Define and maintain standards for artifacts containing architectural content within the operating model. Build a Community of Practice for solutions architecture while leveraging architectural tools, processes, and practices. Qualifications: Strong cloud data architecture knowledge (preference for Microsoft Azure) Experience developing architecture strategies and plans to enable cloud data transformation, MDM, data governance, and data science capabilities. Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, Real Time, and near Real Time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses. Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB). Capable of communicating data concepts to varied forums and audiences (including business and technology), and advocating for the importance of data quality, data standards, managed replication, and co-existent/federated data in an enterprise data eco-system. Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc. Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka. Experience with Microsoft CoPilot, and exposure to TensorFlow, Python NLTK are a plus Typically requires 17 years of relevant experience or a combination of related experience, education and training.
Data Governance Tech Lead Salary: open + bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree 7+ years of experience in data governance disciplines: metadata management; data quality analysis; data quality remediation; data profiling and data lineage. Experience with Data Governance tools such as Collibra, IBM Infosphere Information Server Suite or Informatica. Proficient with SQL. Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift, NoSQL, Object-based) and ETL tools. Previous experience in designing and building data capabilities like data quality, metadata, data lineage, data catalog and data dictionary. Experience with Business Intelligence/Reporting tools such as Tableau/Cognos. Financial Services industry experience DAMA certified (preferred) Responsibilities Create, develop, configure and execute end to end business and technical data lineage across disparate sources working with business and technical SMEs/developers understanding the applications system/technical design and create data flow diagrams/data mappings. Experience working on metadata management ingesting metadata using metadata bridges/connectors, creating and ingesting custom source to target mappings, custom metadata assets. Develop Metadata, Data Lineage and Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies etc. Design, Build and Execute Data Quality Rules over the CDEs identified according to the business needs to ensure clean and healthy data. Manage Data Quality Exceptions and help the team to find out the root cause analysis. Implement data governance policies, procedures, controls, and standards. Hands-on experience working on data quality and data governance technology and tools. Utilize data profiling and data quality tools to analyze and determine causes of data quality issues. Design and implement Data Quality Dashboards for monitoring and reporting.
17/12/2024
Full time
Data Governance Tech Lead Salary: open + bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree 7+ years of experience in data governance disciplines: metadata management; data quality analysis; data quality remediation; data profiling and data lineage. Experience with Data Governance tools such as Collibra, IBM Infosphere Information Server Suite or Informatica. Proficient with SQL. Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift, NoSQL, Object-based) and ETL tools. Previous experience in designing and building data capabilities like data quality, metadata, data lineage, data catalog and data dictionary. Experience with Business Intelligence/Reporting tools such as Tableau/Cognos. Financial Services industry experience DAMA certified (preferred) Responsibilities Create, develop, configure and execute end to end business and technical data lineage across disparate sources working with business and technical SMEs/developers understanding the applications system/technical design and create data flow diagrams/data mappings. Experience working on metadata management ingesting metadata using metadata bridges/connectors, creating and ingesting custom source to target mappings, custom metadata assets. Develop Metadata, Data Lineage and Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies etc. Design, Build and Execute Data Quality Rules over the CDEs identified according to the business needs to ensure clean and healthy data. Manage Data Quality Exceptions and help the team to find out the root cause analysis. Implement data governance policies, procedures, controls, and standards. Hands-on experience working on data quality and data governance technology and tools. Utilize data profiling and data quality tools to analyze and determine causes of data quality issues. Design and implement Data Quality Dashboards for monitoring and reporting.
Enterprise Data Architect Salary: Open + bonus Location: Remote *We are unable to provide sponsorship for this role* Qualifications 12+ years of relevant experience Strong cloud data architecture knowledge (preference for Microsoft Azure) Experience developing architecture strategies and plans to enable cloud data transformation, MDM, data governance, and data science capabilities. Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, Real Time, and near Real Time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses. Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data, and multi-media, ETL, ESB). Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc. Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka. Responsibilities Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state. Recommend long-term direction on strategic advancements within the technical portfolio. Define and maintain standards for artifacts containing architectural content within the operating model. Build a Community of Practice for solutions architecture while leveraging architectural tools, processes, and practices. Offer insight, guidance, and direction on the usage of emerging trends and technical capabilities.
17/12/2024
Full time
Enterprise Data Architect Salary: Open + bonus Location: Remote *We are unable to provide sponsorship for this role* Qualifications 12+ years of relevant experience Strong cloud data architecture knowledge (preference for Microsoft Azure) Experience developing architecture strategies and plans to enable cloud data transformation, MDM, data governance, and data science capabilities. Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, Real Time, and near Real Time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses. Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data, and multi-media, ETL, ESB). Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc. Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka. Responsibilities Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state. Recommend long-term direction on strategic advancements within the technical portfolio. Define and maintain standards for artifacts containing architectural content within the operating model. Build a Community of Practice for solutions architecture while leveraging architectural tools, processes, and practices. Offer insight, guidance, and direction on the usage of emerging trends and technical capabilities.
