Data Architect

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 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 Certifications & Qualifications SECRET Federal security clearance #J-18808-Ljbffr