Data Architect Jobs

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Data Architect

GuidehouseTysons Corner, VA
Hybrid

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

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Number of Employees

5,001-10,000 employees

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