Senior Data Architect
Harvard Partners, LLP
About the Job As a Senior Data Architect, you will lead solution architecture for a high-visibility enterprise data strategy program, and will be responsible for designing the target-state data platform and explaining it clearly to business stakeholders. Responsibilities:
- Solution architecture for a strategic enterprise data program - current-state assessment through target-state design and roadmap.
- Designing a governed, AWS-centric data lakehouse: Apache Iceberg on Amazon S3 / S3 Tables, with Trino, Apache Spark, and Amazon Athena for query and compute.
- Data virtualization/federation (Denodo) to make on-prem Oracle data consumable by cloud sources.
- Conceptual, logical, and physical data modeling in erwin, to enterprise modeling standards.
- Working within data governance and architecture governance: data-as-a-product, raw/work/publish zone standards, cataloging in Alation.
- Enabling the platform's AI layer - Amazon Bedrock, Bedrock AgentCore, MCP servers - plus tools like Dataiku and potentially Databricks.
- Senior data architecture experience (10+ years as a guide) on enterprise programs.
- AWS-centric data platform depth: S3 / S3 Tables, Athena, AWS-native analytics.
- Hands-on lakehouse: Apache Iceberg, Trino, Apache Spark.
- PostgreSQL / cloud databases; experience consuming on-prem Oracle sources.
- Expert data modeling (conceptual/logical/physical) in Erwin.
- Data governance & architecture governance; modeling standards, zone standards, data-as-a-product / data mesh.
- Data catalog/governance tooling - Alation strongly preferred.
- Strong communicator who can explain complex technical concepts to business users and collaborate with other data teams such as actuaries. Comfortable being visible from director level through engineering.
- GenAI / agentic solutions on Amazon Bedrock and Bedrock Agent.
- Core.MCP (Model Context Protocol) servers.
- Dataiku and/or Databricks.
- Financial services/insurance domain experience.
Vacancy posted 2 days ago
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