Senior Engineering Manager - Data Lake

We are hiring a dynamic and accomplished Engineering Manager to join our Data Lake team. In this role, you will lead and expand a talented team building on cutting edge open source data lake technologies. You'll drive innovation, foster collaboration within the open source community, and ensure delivery of robust and scalable solutions for our enterprise customers.

Responsibilities

Lead a team of talented and high-performing engineers in the design, development, and support of highly distributed and scalable data platforms, with a specific focus on optimizing and enabling workloads on top of open table and open catalog formats like Apache Iceberg and Apache Polaris (incubating); Lead and participate in technical design and roadmap discussions relating to areas like Query Processing, Metadata Management, Performance, Scalability, and Open Source Interoperability; Have direct ownership to grow a strategic and emerging part of Snowflake's business to address new and expanding market opportunities in Data Lake and Data Analytics workloads; Have direct impact on growth and development of your team through the full lifecycle of recruiting, hiring, mentorship, coaching, and identifying growth opportunities; Demonstrate strong communication skills and the ability to work seamlessly across teams and organizations; Partner well with other leaders in the Engineering and Product organization on planning, staffing, project schedules, resource allocation; Be comfortable and effective in delegation, leveraging Senior & Principal engineers to maximize your team's impact; Know when and how to shift resources across areas to achieve execution goals, while ensuring effective ownership and longer-term alignment of work and skills; Translate product requirements into engineering work for your team, partnering closely with peers in Product and other disciplines; Use your strong technical foundation to set the bar for your team - build to last, deliver, and keep the quality exceptionally high; Foster a healthy and diverse team culture

Requirements

7+ years industry experience designing and building distributed data systems, especially with a focus in database systems internals; 3+ years of software engineering management experience; A track record of recruiting, leading, and growing high performing technical teams in a demanding talent market; Experience building enterprise grade software - reliable, secure, and trustworthy platforms and distributed systems at large scale; Excellent problem solving skills, and strong CS fundamentals including data structures, algorithms, and distributed systems; Proven experience with authoring roadmap documents, project plans and RCAs; Fluency in Java or C++; Ability to work in a globally distributed team, collaborate well across disciplines, and mentor junior engineers; Excellent interpersonal communication skills. Outstanding written and oral English language skills; Bachelor's Degree in Computer Science, Engineering, or equivalent; Ability to work on-site in our Bellevue, WA or Menlo Park, CA office

Nice to have

Working with Apache open source projects and open data formats - Parquet, ORC, Avro - as well as with open table format standards - Apache Iceberg, Delta Lake; Modern data analytics technologies such as Spark, Trino, Presto; Experience with query processing; Experience working and building on Data Catalog platforms, Metadata platforms, and Data Governance platforms, such as Unity, Glue, Nessie, Gravitino; Working with or building Distributed Storage platforms such as AWS S3, Azure Blob Storage, Azure Data Lake Storage, Google Cloud Storage; Internal design and implementation of query processing systems