Data Architect

Guidehouse • Tysons, VA

1d • Remote

About The Position

As a Data Architect, you will lead the design, implementation, and evolution of enterprise‑scale data architectures supporting advanced analytics, AI/ML, and mission‑critical decision‑making for federal clients. You will serve as a technical authority responsible for ensuring data solutions are scalable, secure, and aligned with federal and DoD architecture, governance, and compliance requirements. You will work closely with data engineers, AI/ML teams, platform engineers, and government stakeholders to translate mission needs into robust data architectures, leveraging Databricks and Palantir Foundry as core delivery platforms.

Requirements

• An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field
• FIVE (5) or more years of experience in data architecture, data engineering, or enterprise analytics roles
• Hands‑on experience with Databricks (Spark, Delta Lake, performance optimization, production architectures)
• Hands‑on experience with Palantir Foundry, including data pipelines, ontology, and analytics enablement
• Strong experience designing enterprise data architectures supporting analytics and AI/ML workloads
• Experience with SQL and distributed data processing frameworks
• Experience integrating multiple data sources and managing complex data pipelines

Nice To Haves

• Strong understanding of data governance, metadata management, and lineage
• Ability to clearly communicate architectural designs to both technical and executive audiences
• Experience supporting the Department of Defense, including exposure to Advana or DoD enterprise data platforms
• Experience working with federal financial, budgetary, accounting, or audit data
• Experience architecting solutions in Azure Government or AWS GovCloud
• Familiarity with MLOps and how data architecture supports model lifecycle management
• Knowledge of data cataloging, semantic layers, and enterprise metadata strategies
• Experience designing data architectures that support Responsible AI and model governance
• Experience leading architecture reviews or serving as an approving authority
• Master’s degree in a related technical discipline

Responsibilities

• Lead the end‑to‑end design of data architectures supporting analytics, AI/ML, and operational reporting
• Define logical and physical data models, ingestion patterns, transformation layers, and consumption frameworks
• Architect solutions for large‑scale structured and semi‑structured datasets, including federal financial and operational data
• Design secure, scalable data platforms leveraging Databricks (Spark, Delta Lake) and Palantir Foundry
• Establish architecture standards for data integration, metadata, lineage, and data quality
• Ensure architectures align with federal security, compliance, and data governance requirements
• Partner with AI/ML, MLOps, and analytics teams to enable production‑grade model development and deployment
• Guide implementation teams through complex architectural decisions and trade‑offs
• Support system design reviews, technical documentation, and government architecture forums
• Mentor junior architects and engineers while providing technical leadership across engagements

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

What This Job Offers

• Job Type: Full-time
• Career Level: Senior