> Markdown version of [/jobs/ext/3021167-software-development-engineer-iii-aws-sagemaker-lakehouse-catalog](https://www.wearedevelopers.com/jobs/ext/3021167-software-development-engineer-iii-aws-sagemaker-lakehouse-catalog). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Development Engineer III, AWS Sagemaker Lakehouse Catalog - **Company:** Amazon.com, Inc. - **Location:** East Palo Alto, CA, United States - **Experience:** Expert - **Salary:** $193,300.0 - $261,500.0 - **Contract:** Internship / Graduate position - **Skills:** Amazon Web Services, Amazon S3, Big Data, Code Review, Computer Programming, Data Governance, Data Security, Software Design Patterns, Distributed Systems, Memory Management, Software Architecture, Software Engineering, Software Technical Review, Data Processing, Parallel Computation, Data Management, Software Coding, Software Version Control, Programming Languages - **Published:** September 21, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/28036887/Software-Development-Engineer-Iii-Aws-Sagemaker-Lakehouse-Catalog-California-East-Palo-Alto-7375 ## About the Role 8+ years of non-internship professional software development experience - 8+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Knowledge of system performance, memory management, and parallel computing principles - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence Preferred Qualifications - Master's degree - 6+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience ## Description Be part of a team which is passionate about solving real world data management and governance challenges. Come build large scale distributed systems that are central to the next generation of analytics in the cloud. AWS Lake Formation is a service that helps build and secure data lakes in a simple, scalable, server-less architecture. We are looking for software engineers to join our growing team! As a Software Engineer in Lake formation you will: - Solve unique and first-order problems in areas of Big Data, Distributed Systems, and Server-less data processing - Influence and build products that will leverage scale of resources to orchestrate data management and governance - Be catalyst to deliver a truly disruptive product while still early enough to have impact and influence Key job responsibilities - Translate functional and technical requirements into detailed architecture, design and extensible code - Be an advocate of industry best-practices to produce reliable, fault-torrent and dependable code - Code and test complex system modules; develop and leverage frameworks to be effective and efficient - Participate in architecture, design and code reviews to maintain our high development standards - Mentor other engineers, defining our challenging technical culture, and helping to build a fast-growing team A day in the life Morning coffee in hand, you dive into Slack to catch up on overnight discussions By mid-morning, you're deep in code, building features that help customers wrangle petabytes of data without breaking a sweat. You might be designing a new orchestration framework, squashing a gnarly concurrency bug, or whiteboarding with teammates to architect a solution that scales elegantly from startup to enterprise. After lunch, you join a design review where ideas fly freelyYou collaborate with partner teams across AWS (think Glue, S3, Athena) to ensure Lake Formation plays nicely in the broader analytics ecosystem. During oncall, you hop on a call with a customer or solutions architect to understand a real-world data governance challenge. These conversations fuel your work, you're not just writing code; you're solving problems that help organizations unlock the value of their data securely and at scale. Before wrapping up, you spend time mentoring a newer engineer, reviewing code, or spiking on a crazy idea that might just work. You close your laptop knowing you've built something meaningful ! About the team We are builders and data people that are obsessed with our customers and take-on big challenges. We support each other and encourage different views. We also like to have a bit of fun along the way. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Fireside Chat with Werner Vogels, VP & CTO, Amazon.com & Daniel Gebler, CTO at Picnic](https://www.wearedevelopers.com/videos/1405-fireside-chat-with-werner-vogels-vp-cto-amazon-com-daniel-gebler-cto-at-picnic) - [Are Code Reviews Worth It? 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