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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Data Governance - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $99,100.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Big Data, Cloud Engineering, Information Engineering, Data Governance, Data Infrastructure, Distributed Systems, Metadata, Meta-Data Management, Data Classification, Snowflake, Apache Spark, Data Lakes, Restful APIs, Terraform, Databricks - **Published:** August 29, 2026 - **Apply:** https://www.careerjet.com/job/usa34262aa8cd0fb7e8f38940378926171/eaa ## About the Role You have 8+ years of experience with large-scale distributed computing systems, with expertise in both data-intensive applications and data governance systems. You have 5+ years of experience running live production environments, including high-load systems or data-intensive workflows, with a focus on uptime and reliability. You have excellent software engineering fundamentals, including a strong grasp of algorithms and data structures. You have deep, hands-on experience with Spark and a modern lakehouse or cloud data warehouse (Databricks, Delta Lake, dbt, Snowflake, or similar). You can design scalable, secure, and maintainable data models and architectures, and you understand data governance and privacy regulations such as GDPR and CCPA. You show perseverance when faced with tough technical problems. You're a strategic thinker who can weigh building in-house against leveraging third-party solutions, balancing speed, scalability, and long-term viability. You're an excellent communicator and collaborator who works well across diverse teams and stakeholders, translating business needs into robust solutions and aligning everyone on technical goals. You work independently with minimal guidance, managing tasks and priorities across multiple projects, executing efficiently, collaborating across functions, and thriving in a fast-paced, results-driven environment. Nice to have Experience with specific data governance systems, such as data deletion, purpose-based access controls, and data exports. Comfort with data lake and lakehouse technologies (for example, Delta Lake, Iceberg, or Hudi) and managing cloud infrastructure as code (for example, Terraform). A track record of building metadata management systems & exposure to data classification mechanisms. Experience partnering with Legal, Privacy, and Trust teams as a strategic data partner to enhance governance and privacy posture. ## Description As a Senior Engineer on the Data Platform team, you'll shape the architecture and technical strategy for Data Governance across our platform, owning data privacy, security both in-flight and at rest, regulatory compliance, and metadata management. You'll design and lead robust, scalable, and reliable systems that handle large volumes of data and enforce governance and privacy across the company. You'll partner closely with cross-functional teams, including Privacy & Legal, Security, and Trust Engineering, to strengthen our governance posture while keeping governance as an enabler for engineering teams rather than a blocker. As a senior IC, you'll also mentor engineers and help set the strategic direction for the platform. In this role, you'll: Architect and lead the large-scale systems behind data governance, including privacy policy enforcement, metadata and lineage management. Design solutions that keep data secure and purpose-driven, protecting its confidentiality and integrity as it moves through the platform. Champion metadata management systems that make data more discoverable and keep lineage accurate across the platform. Make the high-level architectural calls on system design, technology choices, and platform evolution, so that what we build scales and lasts. Collaborate with key stakeholders across Privacy & Legal, Security, and Trust Engineering. Partner with leadership to shape the charter and technical roadmaps. Mentor engineers across back-end infrastructure and data engineering, fostering a culture of collaboration and technical excellence. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)