Seeking an experienced AWS Data Architect to lead the architecture and evolution of our Enterprise Unified Data Platform (UDP).
This platform is a core enabler of healthcare data modernization, focused on democratizing access to data across healthcare administration, care management, and health informatics.
The role ensures alignment with the foundational product-level UDP architecture.
The candidate will balance deep cloud architecture skills with strong platform alignment and governance discipline to build scalable, interoperable, and future-ready solutions.
Responsibilities include serving as the Enterprise UDP technical architect, ensuring full alignment with the Product UDP platform’s governance, security, and architectural direction.
The architect will design and implement federated data architecture using virtualization tools that connect to domain UDPs and external sources without duplicating datasets.
Leading the architecture of semantic layers to unify attributes across data sources and facilitate access control, data discovery, and request execution is essential.
The role involves architecting and scaling AWS-native infrastructure components including Amazon S3, Redshift, Glue, Lambda, DMS, EventBridge, Athena, CloudTrail, CloudWatch, and KMS.
The architect will leverage PostgreSQL for reference and application data use cases, and PySpark for large-scale data transformation and processing workloads.
Driving data lake and lakehouse architecture evolution, enabling ingestion, storage, cataloging, and virtualization of structured and unstructured datasets is a key responsibility.
The role enables self-service data consumption by implementing virtualized access models integrated with tools like Tableau, Power BI, and NLP-based query engines.
Collaboration with product managers, platform engineers, and DevOps teams is necessary to ensure reusable, governed, and secure cloud-native components.
Supporting metadata management, data cataloging, RBAC, and auditability using AWS IAM, Glue Catalog, and associated services is required.
The architect will evaluate emerging AWS and data technologies, recommending adoption where they align with Enterprise UDP’s roadmap and federated principles.
Requirements:
A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is required.
The candidate must have 10+ years of experience in data architecture and engineering, with 5+ years building and scaling solutions on AWS.
Deep experience with AWS services such as Glue, Redshift, S3, Lambda, DMS, Athena, IAM, and CloudTrail is essential.
Strong proficiency in PostgreSQL, PySpark, and big data transformation tools and frameworks is required.
Demonstrated expertise in federated data architecture, data virtualization, and semantic data modeling is necessary.
A solid understanding of healthcare data domains such as Medicaid eligibility, claims, provider, member, and care management is important.
The candidate must have a proven track record of aligning to platform-level architecture and governance standards, avoiding siloed or point-specific implementations.
Skills in data cataloging, lineage, access control, and data quality enforcement are required.
Strong communication and collaboration skills in cross-functional, agile environments are essential.
Benefits:
The position offers the opportunity to lead the architecture of a critical data platform in the healthcare sector.
The role provides a chance to work with cutting-edge AWS technologies and data architecture practices.
The candidate will have the opportunity to collaborate with cross-functional teams, enhancing their professional network and skills.
The position supports the evolution of data practices that contribute to healthcare modernization and improved data access.
The role offers a dynamic work environment that encourages innovation and the adoption of emerging technologies.