Data Architect
Posted Updated
- 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.