ProArch

Data Architect, AWS

ProArch

contract

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

SeniorLead

Tech Stack

Amazon RedshiftAWSCloudPostgresPySparkTableau

About the role

  • Lead architecture and evolution of Enterprise Unified Data Platform (UDP) to enable healthcare data modernization.
  • Democratize access to healthcare administration, care management, and health informatics data while aligning to product-level UDP architecture.
  • Serve as Enterprise UDP technical architect, aligning with Product UDP governance, security, and architecture.
  • Design federated data architecture using virtualization tools to connect domain UDPs and external sources without duplicating datasets.
  • Lead semantic layer architecture to unify attributes across data sources and enable access control, discovery, and execution.
  • Architect and scale AWS-native components including S3, Redshift, Glue, Lambda, DMS, EventBridge, Athena, CloudTrail, CloudWatch, and KMS.
  • Use PostgreSQL for reference/application data and PySpark for large-scale transformations.
  • Drive data lake and lakehouse architecture for ingestion, storage, cataloging, and virtualization of structured/unstructured data.
  • Enable self-service consumption via virtualized access integrated with Tableau, Power BI, and NLP-based query engines.
  • Collaborate with product managers, platform engineers, and DevOps to ensure reusable, governed, secure cloud-native components.
  • Support metadata management, data cataloging, RBAC, and auditability using AWS IAM, Glue Catalog, and related services.
  • Evaluate and recommend emerging AWS/data technologies aligned to roadmap and federated principles.

Requirements

  • 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.