Data Architect

12+ years of experience in enterprise data architecture, data engineering, or advanced database design supporting large-scale analytics environments. Proven experience designing AI-ready data architectures, including unified schemas, metadata standards, governed data models, and scalable data structures. Hands-on experience with Databricks architecture, including Delta Lake, Unity Catalog, Lakehouse architecture, and ETL/ELT pipelines. Strong experience designing cloud-native AWS architectures using services such as S3, IAM, KMS, Lambda, Glue, API Gateway, RDS, or Aurora. Demonstrated experience implementing data governance, including data lineage, metadata standardization, semantic models, ontologies, compliance, and data-quality practices. Experience supporting streaming data ingestion, microservices integration, and API-based data exchange. Experience working in Agile environments, preferably within Federal Government or large enterprise organizations. Possession of both required certifications, with the ability to provide valid certification documentation upon request. Prior experience supporting Federal data modernization or transformation programs.