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# Principle Data Platform Engineer

- **Company:** Amazon.com, Inc.
- **Location:** Redmond, WA, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Big Data, C Sharp (Programming Language), C++ (Programming Language), Data Discovery, Data Infrastructure, DevOps, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Role-Based Access Control, Reliability Engineering, Azure Machine Learning, Software Engineering, Data Logging, Data Storage Technologies, Data Classification, Azure Data Factory, Information Technology, Data Lineage, Bicep, Terraform
- **Published:** September 16, 2026
- **Apply:** https://www.careerjet.com/job/us721167c48cd6d129ed45a0d64c5e4218/eaa

## About the Role

influence product roadmaps and address feature gaps. Implement shared tools for cross-tenant Azure data intake and publishing. Deploy capabilities for data classification, tagging, retention, archival, and deletion to meet privacy policy requirements. Identify and prioritize platform improvements using incident and feedback data. Embody our culture and values. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent
experience. 6+ years of software development lifecycle experience, including 2+ years in a lead role managing big data platforms. 2+ years of Infrastructure-as-Code (Terraform, Bicep, ARM) 2+ years of CI/CD pipelines and DevOps automationIdentity & access management (RBAC, PIM, conditional access) 2+ years of Governance frameworks (data classification, policy enforcement, compliance controls) Experience with observability (OpenTelemetry, monitoring, logging, SLOs) Experience with incident management and reliability engineering practices

## Description

Develop and implement a federated infrastructure strategy for marketing data focused on cost optimization and scalability. Develop monitoring systems and processes for Data Platform infrastructure, pipelines, usage, and access patterns. Build capabilities for data discovery, access management, policy enforcement, and lineage tracking, aligned with the DE data platform vision. Create and deploy frameworks and tools for data quality measurement and monitoring to deliver secure, sustainable, high-performing, and reliable marketing data for consumer needs. Design and roll out data storage framework and solution in line with medallion architecture and automated role-based access controls across all access layers. Establish engineering excellence through best practices, coding standards, and robust code management tooling. Collaborate with Data Product Engineering, Data Ops, and Partner Engineering teams to deliver end-to-end platform solutions. Partner with Fabric, Purview, Azure ML teams to


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