Data Architect, AWS

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August 26

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ProArch

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Artificial Intelligence • Cybersecurity • Cloud

ProArch is a technology company that specializes in providing digital engineering, cloud services, data and AI solutions, and cybersecurity measures. They help businesses unleash their full potential by modernizing operations, protecting assets, and delivering data-driven insights. ProArch works closely with clients to eliminate roadblocks to growth and aligns advanced technology solutions with business goals to empower organizational success. As an award-winning Microsoft Gold Partner, they offer a wide range of services including AI consulting, software development, quality assurance, infrastructure management, governance, risk, and compliance solutions, and operational technology services. Their expertise extends to industries such as credit unions, power generation, and manufacturing, providing tailored solutions to meet each sector's unique challenges.

201 - 500 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

📋 Description

• 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.