*We are unable to sponsor as this is a permanent Full time role*
*5 Days Onsite*
A prestigious company is looking for an Enterprise Data Architect (AWS). This role will focus on enterprise data architecture within AWS. This role will be working with SaaS tools such as Snowflake, Collibra, etc.

Responsibilities:
Drive critical business capabilities by delivering innovative solutions using the latest cloud technologies
Provide technical consultation to partners and IT management on technology options, architectural trade-offs, standards alignments, risks, and roadmap development.
Present and communicate architectural solutions and patterns to both technical and on-technical partners, demonstrating their value in meeting business needs.
Collaborate with business partners and risk & security groups to ensure alignment of architecture with business objectives, roadmaps, and organization policies and standards.
Define and deliver architectural solution documentations, patterns, product deliverables, and decisions with clear rationale, especially in data patterns and solution architecture.
Evaluate and compare solutions to identify the optimal choices for business needs.

Qualifications:
Bachelor's degree in Computer Science or related field
3+ years of AWS Cloud experience working with AWS services EC2, S3, EKS, RDS/Aroura, EMR, Lambda
3+ years working with SaaS platforms such as Snowfl ake, Collibra, Mongo/MongoDB Atlas,
3+ years of large-scale digital transformation & AWS Cloud migration hands on experience with multiple technology areas like API, Microservices, Event Streaming, Logging & Monitoring, Databases (SQL, NOSQL), Containers, Serverless Frameworks, AI & ML etc.), API Platform (Apigee), Kafka, AMQ
10+ years of broad technology experience and knowledge across multiple disciplines such as application development, database SQL/NoSQL, infrastructure platform, security products, ETL products, Data Management and Business Intelligence (BI) tools
10 years of practical experience in solution, data, architecture applied to multiple large-scale enterprise systems.
5 years' extensive knowledge and experience in the Data technologies for Data Analytics, Data Lake/Mart/Warehouse, Big Data (Hadoop, HBase, Hive), Databases SQL/NoSQL (DB2, Oracle, Sybase, Mongo, Postgres), ETL (Informatica, Talend, Sqoop), CDC (Attunity), REST API, Integration/EAI technologies like Informatica, BI tools
(MicroStrategy/Tableau), Data Management tools
10 years' experience with Technologies including Web Service API, Integration/EAI technologies like Informatica, XML, JSON, JDBC, SQL, Java, Python, R,
Knowledge of enterprise data models, information classification, meta-data models, taxonomies and ontologies
Direct experience most recent cloud-based AWS technology and familiarity with the latest industry trends and technology for enterprise data needs.
Data and Architectural leadership with knowledge of both Legacy and modern cloud-based data technologies and applications