Data Engineer responsible for developing research analytic data infrastructure at Sutter Health. Involves managing data quality, pipelines, and compliance with healthcare regulations.
About the role
- AWS Data Architect overseeing enterprise data platform architecture for Signet Jewelers. Guiding engineering teams and ensuring data solutions are reliable and aligned with enterprise strategy.
Responsibilities
- Provide hands on technical leadership through code reviews, architecture/design walkthroughs and implementation guidance
- Design, implement and evolve event driven and real time data streaming architectures
- Define and enforce best practices for data access, storage and processing across Analytical and operational use cases
- Architect and implement scalable data platforms using AWS native services, with deep hands on expertise in Python, AWS Glue, API Gateway, Kinesis, AWS Lambda, SQL and Redshift
- Ensure data architectures effectively support analytics, reporting and AI/ML use cases
- Drive end to end data modeling across operational and analytical domains
- Define and implement robust data quality frameworks, including validation rules, automated checks and reconciliation logic to ensure data integrity across both streaming and analytical data pipelines
- Collaborate with data engineers, analysts and business stakeholders to deliver data driven solutions
- Establish and enforce data governance standards including metadata management and cataloging cloud native governance and cataloging services
- Own and govern schema design and evolution across structured and semi-structured data formats (relational, JSON, Parquet)
- Design and implement monitoring, logging and event based alerting using Amazon CloudWatch and SNS
- Ensure pipelines are fault tolerant, observable, resilient and scalable
Requirements
- 11+ years in software engineering or relevant IT experience
- Strong knowledge of data architecture patterns (lakehouse, warehouse, mesh)
- Hands on expertise with AWS services including SQS, API Gateway, SNS, Kinesis, Glue, Event Bridge, Redshift, Lambda, CloudWatch, RDS
- Proven experience designing and operating enterprise scale data platforms on AWS
- Solid experience with data modeling, including designing scalable data structures for analytical and operational workloads
- Strong understanding of event driven architectures and real time data streaming patterns
- Working knowledge of networking fundamentals and IAM implementation within AWS cloud environments
- Experience with Agentic AI or AI driven data ingestion (e.g, using LLMs for data product creation, developer enablement)
- Experience with infrastructure as code (CDK/Terraform) and modern dev ops practices (CI/CD, GIT)
- Excellent communication skills with the ability to interface effectively with business stakeholders.
Benefits
- Competitive healthcare, dental & vision insurance
- 401(k) matching after one year of employment
- Generous time off + company holidays
- Merchandise discount
- Learning & Development programs
- Much more!
Job title
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Experience level
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Not specified
Degree requirement
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