Foundational Data Architect



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Architecture Senior Advisor – Foundational Data Architecture

  • Ability to perform conceptual, solution and technical data platform architecture on cloud, on-premise, on-premise to cloud and cloud to on-premise environments focusing on AWS and Databricks environments
    • The majority of this documentation will be delivered through Confluence; extremely capable of creating
  • Experience with data migration from on-premise to cloud, cloud-to-cloud, and cross-cloud environments, migrating data between:
    • On-premise Hadoop and cloud relational databases
    • On-premise Hadoop and Delta Lake entities
    • Teradata + Teradata Vantage and Delta Lake data structures
    • Teradata – TDUtils, Querygrid external data connectors, transports
    • Delta Lake entities and Snowflake databases
  • Hands-on experience with Databricks along with an understanding of Unity Catalog, how it integrates with Otka and active directory structures, and how column and row based filtering might be managed
  • Understand the difference and purpose of different data lake table formats such as Iceberg, Delta Lake and Hudi, and how data inserts and updates are accomplished by each
  • Nice to have: Ability to understand common healthcare data models (e.g. OMOP) and take them into consideration with architecting data lake and product-based environments
  • Tools: AWS services and tools – focusing on data, Databricks, Snowflake, Teradata, SQL Server, Oracle, Postgres, Redshift, RDS, graph databases, Starburst or Denodo, Collibra, Alation, Confluence

Brooksource provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.


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