Senior Data Architect

This is a "player-coach" role that requires high-level strategic planning alongside hands-on engineering execution.Key ResponsibilitiesArchitecture & Design:Design conceptual, logical, and physical data models for complex federal environments. Lead the transition from legacy on-premise systems to modern, cloud-native (AWS/GCP) data platforms.Pipeline Development:Architect and oversee the build of automated ETL/ELT pipelines using Python, SQL, and PySpark to ingest and transform unstructured and structured data.Cloud Data Warehousing:Implement and optimize enterprise data warehouses using tools likeAWS Redshift,Google BigQuery,AWS Glue, andDatabricks.Governance & Compliance:Establish data governance frameworks, metadata management, and data lineage in alignment with federal standards (HIPAA, FHIR, NIST).Performance Optimization:Conduct index/partition design, query tuning, and sharding strategies to ensure high availability and scalability for real-time analytics.AI/ML Support:Design data architectures that facilitate AI/ML initiatives, including model training pipelines and real-time inference in production environments.Leadership:Mentor a team of data engineers, enforce software engineering best practices (CI/CD, unit testing, documentation), and serve as a technical bridge between stakeholders and delivery teams.Required QualificationsExperience:10+ years of progressive ex...