Hatch IT
Data Platform Architect
Falls Church, VA · On-site · Full-time · Posted Aug 19, 2026
- Experience
- 5+ years of technical experience, including 3+ years designing or implementing production solutions on Databricks, Palantir Foundry, or similar modern data platforms.
About the job
Provides architectural guidance and hands-on support for secure, scalable data, analytics, and AI/ML solutions, primarily using Databricks and Palantir Foundry.
What you'll do
- Guide teams in designing and productionizing data pipelines, data products, analytics, and ML workflows across Databricks and Palantir Foundry.
- Establish reusable technical standards and operational practices for CI/CD, governance, security, data quality, monitoring, and platform performance.
- Collaborate with engineering, data science, analytics, platform, security, and mission teams on architecture and delivery.
What they ask for
- 5+ years of technical experience, including 3+ years designing or implementing production solutions on Databricks, Palantir Foundry, or similar modern data platforms.
- Strong experience with Python, SQL, PySpark, and Spark SQL.
- Experience building production data pipelines, transformation workflows, and data products, and working with enterprise analytics platforms.
- Knowledge of DataOps, DevOps, MLOps, data governance, quality, metadata, lineage, access control, and troubleshooting distributed platforms.
Nice to have
- Deep Databricks expertise and experience implementing solutions in Palantir Foundry.
- Experience with Git-based CI/CD, cloud-native services, ML lifecycle support, or DoD/Federal mission environments.
Tools
Databricks, Palantir Foundry, Python, SQL, PySpark, Spark SQL, Delta Lake, MLflow
AI focus
Guides production AI/ML workflows, including reproducible MLOps, model training and deployment, inference, monitoring, and self-service ML capabilities.
Model-written summary · the original posting is authoritative