Sr. Data Architect (1149262)

The Judge Group; Washington (District of Columbia); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Comprehensive health care

401k plan

Benefits package

Job summary

Top tier for to the DOD is seeking a Data Architect for a remote, multi-year DoD contract. The role demands hands-on architecture of enterprise data, analytics, and applications across Army Vantage and Palantir Foundry.

You will design data models with Kimball, build scalable ETL/ELT pipelines using PySpark and Delta Lake, lead engineers, and ensure governed data in a fast-paced, security‑critical environment with active secret clearance.

Qualifications

• Must be a U.S. Citizen, with an active secret DoD security clearance (ability to attain interim will be considered).
• College degree (B.S., M.S.) in Information Assurance, Computer Science, Management Information Systems, or a related discipline. Experience will be considered in lieu of education.
• Minimum of 7 years of related experience in data architecture, data engineering, software engineering, analytics, or AI/ML.
• Demonstrated experience as a hands‑on architect or technical lead who has personally designed, implemented, deployed, and supported production enterprise data and AI systems.
• Strong communication skills and the ability to operate independently and collaboratively in a fast-paced DoD environment.

Responsibilities

• Own end-to-end architecture and hands‑on implementation of enterprise data, analytics, and applications in Army Vantage/Palantir Foundry.
• Design and implement conceptual, logical, and physical data models using Kimball dimensional modeling, Databricks Lakehouse/Medallion patterns, semantic layers, and Foundry Ontology.
• Design, implement, test, deploy, and maintain scalable ETL/ELT pipelines and governed data layers using Python, PySpark, Spark SQL, Foundry Code Repositories, Pipeline Builder, Databricks, and Delta Lake.
• Design and implement Foundry Ontologies containing governed objects, links, Actions, Functions, KPIs, and access controls.
• Design and build production Workshop applications, JavaScript and TypeScript Functions, custom widgets, and OSDK integrations.
• Develop, refine, and maintain data cleansing pipelines in Palantir Foundry, ensuring authoritative, accurate, and standardized data across layers.
• Implement validation, de-duplication, formatting, and business rules within Foundry components to guarantee quality data for analytics.
• Lead engineers while developing critical components, reviewing code, resolving blockers, and maintaining architectural alignment.

Skills

Databricks Lakehouse

Medallion architecture

Kimball dimensional modeling

Apache Spark

Delta Lake

Python

PySpark

Foundry Ontology

Team leadership

Education

B.S./M.S. in Information Assurance or Computer Science or MIS

Tools

Databricks

Foundry

Job description

Location: Washington, DC

Salary: $180,000.00 USD Annually - $200,000.00 USD Annually

Description

Company: Top tier for to the DOD

Position: Data Architect

Location: REMOTE!

Clearance: Active secret or above.

NEW MULTI-YEAR CONTRACT

comprehensive helaht care, 401k etc benfits package

Responsibilities

• Own the end-to-end architecture and hands‑on implementation of enterprise data, analytics, and applications in Army Vantage/Palantir Foundry.
• Design and implement conceptual, logical, and physical data models using Kimball dimensional modeling, Databricks Lakehouse/Medallion patterns, semantic layers, and Foundry Ontology.
• Design, implement, test, deploy, and maintain scalable ETL/ELT pipelines and governed raw, clean, and curated data layers using Python, PySpark, Spark SQL, Foundry Code Repositories, Pipeline Builder, Databricks, and Delta Lake.
• Design and implement Foundry Ontologies containing governed objects, links, Actions, Functions, KPIs, and access controls.
• Design and build production Workshop applications, JavaScript and TypeScript Functions, custom widgets, and OSDK integrations.
• Develop, refine, and maintain data cleansing pipelines in Palantir Foundry, ensuring authoritative, accurate, and standardized data is delivered across raw, clean, and curated layers.
• Implement robust validation, de duplication, formatting, and business rule enforcement within Foundry Code Repositories, Pipeline Builder, and Ontology Actions to guarantee high-quality, governed data ready for downstream analytics and applications.
• Implement document-processing pipelines, tool orchestration, evaluations, audit logging, data-freshness indicators, and controls against unsupported or unauthorized responses.
• Lead team’s engineers while personally developing critical components, reviewing code, resolving technical blockers, and maintaining architectural alignment.

Required Qualifications

• Must be a U.S. Citizen, with an active secret DoD security clearance (ability to attain interim will be considered).
• College degree (B.S., M.S.) in Information Assurance, Computer Science, Management Information Systems, or a related discipline. Experience will be considered in lieu of education.
• Minimum of 7 years of related experience in data architecture, data engineering, software engineering, analytics, or AI/ML.
• Demonstrated experience as a hands‑on architect or technical lead who has personally designed, implemented, deployed, and supported production enterprise data and AI systems.
• Strong communication skills and the ability to operate independently and collaboratively in a fast-paced DoD environment.

Required Technical Skills

• Experience implementing Databricks Lakehouse and Medallion architectures using Apache Spark and Delta Lake, including incremental and historical processing.
• Advanced Kimball dimensional-modeling experience, including declaration of grain, fact and dimension design, conformed dimensions, slowly changing dimensions, and enterprise bus architecture.