Remote Data Architect SME - Cloud Data Mesh & Governance

The Squires Group

Vienna (VA)

Remote

USD 175,000 - 220,000

Full time

6 days ago

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Job summary

The Squires Group, a federal contractor, seeks a Data Architect SME to lead the strategic design of a decentralized data ecosystem, architect scalable cloud data solutions, and advance data mesh practices with governance.

This remote role requires occasional travel to the DMV region or onsite as needed; active Secret Clearance is required. You will mentor teams, define domain data products, and translate business goals into architecture.

Qualifications

8+ years in data architecture including data lakes, data warehouses, and data mesh environments.
5+ years cloud-based data platforms with AWS services for storage, processing, analytics and governance.
2+ years leadership mentoring data teams.
Experience with Scrum, Kanban, Jira, Confluence, SAFe.
Deep expertise in data governance, lineage, access controls, privacy, metadata, and cataloging.
Strong understanding of data mesh principles including domain ownership and data products.
Excellent communication and stakeholder management to align business goals with tech architecture.
Bachelor's or Master's in a related field; certifications preferred.

Responsibilities

Lead strategic planning, high-level design, and evaluation of data architecture solutions.
Design and maintain scalable, cloud-based data infrastructure aligned with data mesh strategies.
Design and implement ETL/ELT pipelines using AWS data services (S3, Redshift, Glue, Lake Formation, Lambda, Athena, EMR).
Collaborate with cross-functional data teams to deploy domain-specific data products.
Establish and improve data governance: privacy, access controls, lineage, metadata, quality.
Maintain data catalogs and governance tools to improve data integrity and discoverability.
Lead data mesh implementation ensuring interoperability across domains.
Ensure high availability, reliability, and performance of data architecture.
Drive adoption of data mesh via training and change management.
Communicate complex concepts to stakeholders and align with business objectives.
Provide SME guidance on data architecture and cloud platforms.
Participate in SDLC: planning, analysis, testing, integration, docs.
Apply advanced methods to solve data engineering challenges.
Work in Agile environments (Scrum, Kanban, Jira, Confluence, SAFe).
Provide team training to build data engineering capabilities.