Staff Data Lake Engineer

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.About the role/TeamAs a Staff Software Engineer on the Data Lake Engineering team, you will be a key technical leader in developing our enterprise data platform. Your mission is to build a unified, intelligent data infrastructure using a data lakehouse architecture that boosts developer productivity and establishes standardization across the this role, you will be a vital link between the Data Engineering community and our strategic solutions. You will manage stakeholder relationships, translating their business requirements into technical roadmaps and guiding execution. This is a hands-on position where you'll not only drive the development of scalable, secure, and high-performing systems, but also provide technical mentorship to junior engineers.Your work will directly impact the business by enabling crucial self-service capabilities for data engineers, building a robust business catalog for strong data and AI governance, and implementing systems for data quality and lineage that empower business analysts. This is an opportunity to solve complex, large-scale problems and make a significant impact on both the team and the business.How you'll make an impactPlatform Strategy & Leadership: Lead the technical vision, architecture, and strategy for the Data Lake platform. Drive the development roadmap to deliver a platform that meets both near-term business needs and long-term strategic goals.Technical Execution & Innovation: Design and lead the implementation of our data lake platform and services. Challenge the status quo, championing innovative technical solutions that leverage data, AI, and modern engineering practices.Cross-Functional Partnership: Partner closely with solutions architecture, product, and engineering teams to deeply understand business needs and design effective solutions. Collaborate with information security to ensure data privacy and access controls are a core part of the platform's design.Mentorship & Team Development: Serve as a technical mentor to engineers, providing guidance on engineering principles, best practices, and skills. Foster a culture of continuous learning, innovation, and accountability for quality results.Stakeholder Communication: Report on the status of development, quality, and system performance to management and partners. Advise senior leadership on complex technical initiatives and drive projects to achieve defined OKRs.Experience you'll bringExperience: 8+ years of experience in software design and development, with a focus on building large-scale, distributed systems.Technical Depth:Strong hands-on experience in software development, architecture, deployment, and production operations, preferably with Java / J2EE (Spring/Spring Boot).Proficiency in languages like Python is highly desirable.Deep expertise in building and operating Big Data platforms and large-scale data lakes.Experience with Data Lakehouse formats such as Apache Iceberg, Apache Hudi, or Delta Lake is a significant plus.Strong understanding of modern data processing tools and services (e.g., Spark, AWS Glue, dbt, Apache Polaris).Cloud & Infrastructure:Extensive experience with cloud architecture and services, including AWS (S3, EMR, Kubernetes, Lambda) and Azure.Deep understanding of CI/CD automation, modern development tools, and frameworks.Leadership & Soft Skills:Proven ability to lead and guide engineering teams, acting as a technical mentor and thought leader.Excellent analytical skills with a proven ability to identify and resolve complex technical problems.Strong written and

Created: 2025-09-15