Sr. Data Solutions Architect :

Primary Skills : Databricks (Expert), Immuta (Advanced), Starburst (Advanced), AWS (Expert), Data Governance (Advanced)

Contract Type : W2 Only

Duration : 12+ Months

Location : Remote (occasional visits to a Federal Reserve location)

Pay Range : $100 – $110 per hour on W2

Job Summary :

The Solution Architect will lead the design and implementation of a Common Data Platform (CDP) built on AWS, enabling data integration, governance, and analytics at scale. This role requires deep expertise in data architecture, data mesh design, and cloud-based data platforms.

Responsibilities

Design and architect end-to-end data solutions within AWS using modern data mesh principles.

Define architecture patterns for data ingestion, transformation, and access.

Collaborate with DevOps and Data Engineering teams to ensure scalability and performance.

Integrate core tools like Databricks, Starburst, Collibra, and Immuta into cohesive architectures.

Define data governance, cataloging, and access control frameworks.

Partner with business and technical teams to align data solutions with enterprise strategy.

Required Skills

Strong AWS architecture experience (mandatory).

Expertise in data mesh, data lakehouse, or distributed data architectures.

Experience designing solutions with tools such as Databricks, Starburst / Trino, Collibra, or Immuta.

Strong knowledge of Python, SQL, and data modeling.

Experience with Agile methodologies and JIRA.

Industry Experience :

Experience in client systems or comparable domain, with a robust understanding of business processes relevant to data management and analytics.

This position demands a blend of technical expertise and strategic thinking, aimed at ensuring not just compliance and efficiency in data handling but also unlocking new insights and value for the business.

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