What are the responsibilities and job description for the Enterprise Data Architect position at ValueMomentum?
Should have 15 years of experience with last 4 years in implementing Cloud native Data Solutions for variety of data consumption needs such as Modern Data warehouse, BI, Insights and Analytics
Should have experience in architecture and implementing End to End Modern Data Solutions using AWS and advance data processing frameworks like Databricks etc.
Strong knowledge of cloud native data platform architectures, data engineering and data management
Good knowledge of popular database and data warehouse technologies from Snowflake and AWS
Demonstrated knowledge of data warehouse concepts. Strong understanding of Cloud native databases, columnar database architectures
Ability to work with Data Engineering teams, Data Management Team, BI and Analytics in a complex development IT environment.
Good appreciation and at least one implementation experience on processing substrates in Data Engineering - such as ETL Tools, Confluent Kafka, ELT techniques
Exposure to varying databases – NoSQL (at very minimum Key value stores and/or Document stores), Appliances. Be able to cite implementation experiences constraints and performance challenges in practice.
Preferable (Nice to have): Implementing analytic models using AWS SageMaker for production workloads.
Data Mesh and Data Products designing, and implementation knowledge will be an added advantage.
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