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# Data Architect

- **Company:** Cornerstone Barricades
- **Location:** United States
- **Experience:** Expert
- **Salary:** $208,000.0 - $228,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Apache HTTP Server, Data Architecture, Data Governance, Data Infrastructure, Data Virtualization, PostgreSQL, Oracle (Applications), Oracle Warehouse Builder, Apache Spark, Data Strategy, Dataiku, Databricks
- **Published:** August 28, 2026
- **Apply:** https://harvardpartners.betterteam.com/senior-data-architect/apply/standard

## About the Role

* 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.

## Description

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.


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