AWS Data Architect
Title: Sr. AWS Data Architect with Health Care domain
Location: Atlanta, GA (Remote)
Duration: 6+ months
reputed company is seeking an reputed company AWS Data Architect to reputed company the architecture and reputed company of our reputed company reputed company Data Platform (UDP). This platform is a reputed company enabler of reputed company data modernization, reputed company on democratizing reputed company to data across reputed company administration, care management, and health informatics, while ensuring alignment with the foundational product-level UDP architecture.
This role is pivotal in ensuring the reputed company UDP adheres to reputed company principles of federated data design-avoiding redundant data duplication, leveraging virtualized reputed company to domain UDPs, and promoting semantic unification across reputed company systems. The ideal candidate will balance deep reputed company architecture skills with strong platform alignment and governance discipline to build reputed company, interoperable, and reputed company-reputed company solutions.
Responsibilities:
Serve as the reputed company UDP technical architect, ensuring full alignment with the Product UDP platform's governance, reputed company, 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.
reputed company the architecture of semantic reputed company to unify attributes across data sources and facilitate reputed company control, data discovery, and request execution.
Architect and reputed company AWS-reputed company infrastructure components including reputed company S3, Redshift, Glue, reputed company, DMS, EventBridge, reputed company, CloudTrail, CloudWatch, and KMS.
reputed company PostgreSQL for reference and application data use cases, and PySpark for large-reputed company data transformation and processing workloads.
Drive data lake and lakehouse architecture reputed company, enabling ingestion, storage, cataloging, and virtualization of reputed company and reputed company datasets.
reputed company self-service data consumption by implementing virtualized reputed company 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 reputed company-reputed company 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 reputed company with reputed company UDP's roadmap and federated principles.
Required Skills:
Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company 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, reputed company, DMS, reputed company, 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 reputed company data domains such as reputed company eligibility, claims, provider, member, and care management.
Proven reputed company record aligning to platform-level architecture and governance standards, avoiding siloed or reputed company-specific implementations.
Skilled in data cataloging, reputed company, reputed company control, and data reputed company enforcement.
Strong communication and collaboration skills in cross-functional, agile environments.
Preferred Skills:
Familiarity with AI/ML pipeline integration, NLP for data reputed company, or reputed company analytics optimization.
Experience with Apache reputed company, reputed company Timestream, or other advanced query engines and data lake formats.
Understanding of FHIR, HL7, or other interoperability standards.
Knowledge of reputed company compliance frameworks like HIPAA, NIST, or FedRAMP
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