Job Family:
Data Engineering & Architecture Consulting
Travel Required:
Clearance Required:
What You Will Do
As a Data Architect, you will lead the design, implementation, and evolution of enterpriseâscale data architectures supporting advanced analytics, AI/ML, and missionâcritical decisionâmaking 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.
Key responsibilities include:
Lead the endâtoâend 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 largeâscale structured and semiâstructured 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 productionâgrade model development and deployment
Guide implementation teams through complex architectural decisions and tradeâoffs
Support system design reviews, technical documentation, and government architecture forums
Mentor junior architects and engineers while providing technical leadership across engagements
An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
Bachelorâs 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
Handsâon experience with Databricks (Spark, Delta Lake, performance optimization, production architectures)
Handsâon 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
What Would Be Great to Have
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
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
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
About Guidehouse
Guidehouse is an Equal Opportunity EmployerâProtected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouseâs Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicantâs dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
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