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Data Architect SME - CLEARED

Job in Vienna, Wood County, West Virginia, 22184, USA
Listing for: The Squires Group
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Cloud Computing: Infrastructure & Operations, Data Analyst
Salary/Wage Range or Industry Benchmark: 175000 - 220000 USD Yearly USD 175000.00 220000.00 YEAR
Job Description & How to Apply Below
Overview

Our client is a rapidly growing federal contractor. They are seeking a Data Architect SME.In this role, you will lead the strategic design and evolution of a decentralized data ecosystem, architecting scalable cloud data solutions, advancing data mesh practices, establishing data governance, and enabling self-service analytics and domain-driven data products.

This role is remote, with occasional required travel to the DMV if a non-local candidate, or occasional onsite needs if a DMV local candidate. Per our client contract,
Active Secret Clearance is required.

Responsibilities
  • Lead strategic planning, high-level design, and evaluation of data architecture solutions and emerging technologies.
  • Design and maintain scalable, cloud-based data infrastructure aligned with decentralized data management and data mesh strategies.
  • Design and implement ETL/ELT pipelines using AWS data services, including S3, Redshift, Glue, Lake Formation, Lambda, Athena, and EMR.
  • Collaborate with cross-functional data teams to design, deploy, and evolve domain-specific data products.
  • Establish and continuously improve data governance practices, including data privacy, access controls, data lineage, metadata management, and data quality.
  • Maintain and enhance data catalogs and governance tools to improve data integrity, discoverability, trustworthiness, and usability.
  • Lead the implementation and ongoing support of data mesh architecture, ensuring interoperability and effective data flow across decentralized domains.
  • Ensure high availability, reliability, performance, and operational excellence across the data architecture.
  • Drive organizational adoption of data mesh principles through training, mentorship, and change management.
  • Communicate complex technical concepts to technical and non-technical stakeholders and align architecture initiatives with business objectives.
  • Serve as a subject matter expert in data architecture, data engineering, cloud data platforms, and business-aligned data strategy.
  • Provide high-level functional design, integration guidance, technical analysis, and implementation recommendations for complex data challenges.
  • Participate throughout the solution development lifecycle, including planning, analysis, testing, integration, documentation, and stakeholder presentations.
  • Apply advanced technical and analytical methods to solve complex data engineering and architecture problems.
  • Work within Agile environments using Scrum, Kanban, Jira, Confluence, and SAFe methodologies.
  • Provide team-specific training and mentorship to build organizational data engineering and architecture capabilities.
Qualifications
  • 8+ years of hands-on experience in data architecture, including large-scale data lakes, data warehouses, and data mesh environments.
  • 5+ years of experience with cloud-based data platforms and strong expertise in AWS services for data storage, processing, analytics, and governance.
  • 2+ years of leadership experience managing or mentoring data engineering or architecture teams.
  • Proven experience working in Agile environments using Scrum, Kanban, Jira, Confluence, and SAFe methodologies.
  • Deep expertise in data governance, metadata management, data lineage, access controls, privacy requirements, and data cataloging.
  • Strong understanding of decentralized data architecture and data mesh principles, including domain ownership, data as a product, self-service infrastructure, and federated governance.
  • Excellent communication and stakeholder management skills, with the ability to translate business objectives into technical architecture and vice versa.
  • Bachelor's or master's degree in Computer Science, Information Systems, Data Engineering, or a related technical field preferred.
  • Relevant cloud, data architecture, or data management certifications preferred.
  • Experience with additional cloud platforms such as Azure or Google Cloud preferred.
  • Familiarity with modern data tools such as dbt, Airflow, and Snowflake preferred.
  • Knowledge of emerging AI/ML-enabled data architecture trends preferred.

Compensation:

  • Salary: $175,000 - $220,000. Pay rates are based on experience, qualifications, location, and certifications, and are subject to change at any time.

The Squires Group, Inc. is an Equal Opportunity/Affirmative Action Employer.

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