Data Lake Engineering Manager

Build the future of the AI Data Cloud. Join the Snowflake team.

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.  You will play a critical role in the growth and success of Snowflake’s business as we shape the future of open data management at scale!

As an Engineering Manager in the Data Lake team, you must possess a strong technical foundation with distributed systems, along with prior experience leading and growing engineering teams.  The ideal candidate will demonstrate strong critical thinking, clear communication, and strong decision making skills.   If you have this mix of skills, and a passion for working in one of the world’s largest data domains, we’d love to hear from you!

AS AN ENGINEERING MANAGER AT SNOWFLAKE, YOU WILL:

• 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 rhythms like annual & quarterly planning, staffing, project schedules, resource allocation, and more

• Be comfortable and effective in delegation - effectively leveraging Senior & Principal engineers to maximize your team’s impact

• Know when and how to shift resources across areas to achieve execution goals, while also 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 -  to make our vision a reality!

• 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

OUR IDEAL ENGINEERING MANAGER WILL HAVE:

• 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.

BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:

• 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