
AWS Data Architect
- Atlanta, GA
- $120,000-150,000 per year
- Contract
- Full-time
- Serve as the Enterprise UDP technical architect, ensuring full alignment with the Product UDP platform’s governance, security, and architectural direction.
- Design and implement federated data architecture using virtualization tools that connect to domain UDPs (e.g., MES, Care Management) and external sources (e.g., SDOH) without duplicating datasets.
- Lead the architecture of semantic layers to unify attributes across data sources and facilitate access control, data discovery, and request execution.
- Architect and scale AWS-native infrastructure components including Amazon S3, Redshift, Glue, Lambda, DMS, EventBridge, Athena, CloudTrail, CloudWatch, and KMS.
- Leverage PostgreSQL for reference and application data use cases, and PySpark for large-scale data transformation and processing workloads.
- Drive data lake and lakehouse architecture evolution, enabling ingestion, storage, cataloging, and virtualization of structured and unstructured datasets.
- Enable self-service data consumption by implementing virtualized access models integrated with tools like Tableau, Power BI, and NLP-based query engines.
- Collaborate closely with product managers, platform engineers, and DevOps teams to ensure reusable, governed, and secure cloud-native components.
- Support metadata management, data cataloging, RBAC, and auditability using AWS IAM, Glue Catalog, and associated services.
- Evaluate emerging AWS and data technologies, recommending adoption where they align with Enterprise UDP’s roadmap and federated principles.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 10+ years of experience in data architecture and engineering, with 5+ years building and scaling solutions on AWS.
- Deep experience with AWS services: Glue, Redshift, S3, Lambda, DMS, Athena, IAM, CloudTrail, etc.
- Strong proficiency in PostgreSQL, PySpark, and big data transformation tools and frameworks.
- Demonstrated expertise in federated data architecture, data virtualization, and semantic data modeling.
- Solid understanding of healthcare data domains such as Medicaid eligibility, claims, provider, member, and care management.
- Proven track record aligning to platform-level architecture and governance standards, avoiding siloed or point-specific implementations.
- Skilled in data cataloging, lineage, access control, and data quality enforcement.
- Strong communication and collaboration skills in cross-functional, agile environments.