
About Snowflake
The cloud data platform for seamless data sharing
Key Highlights
- Public company (NYSE: SNOW) - strong equity potential
- Over 1,300 partners managing 250PB of data
- 515 million data workloads processed daily
- $1.4 billion raised to date
Snowflake (NYSE: SNOW) is a leading cloud data platform headquartered in Menlo Park, CA, designed for data sharing and application development. With over 1,300 partners, Snowflake manages more than 250PB of data and supports over 515 million data workloads daily. The company has raised $1.4 billion ...
🎁 Benefits
Snowflake offers comprehensive health insurance, robust retirement plans, generous PTO, and on-demand mental health programs. Employees also benefit f...
🌟 Culture
Snowflake fosters a culture focused on innovation and collaboration, breaking down data silos with a frictionless cloud platform. The company emphasiz...
Skills & Technologies
Overview
Snowflake is hiring an Engineering Manager for their Query Language team to lead the design and development of a highly-parallel SQL database system. You'll work with SQL and database engineering principles in Menlo Park.
Job Description
Who you are
You have a strong background in engineering management with experience leading teams in the design and development of complex systems — your leadership style fosters innovation and collaboration among engineers. You understand the intricacies of SQL and database systems, having worked on projects that require a deep understanding of query languages and performance optimization.
You are passionate about mentoring and supporting engineers in their career development — you provide clear feedback and guidance, helping your team members grow into engineering leaders. Your ability to translate product requirements into actionable engineering tasks ensures that your team remains focused and productive.
You thrive in a collaborative environment, working closely with local and global teams to drive projects forward — your communication skills enable you to effectively engage with stakeholders across various functions. You are committed to building a diverse and inclusive team culture that encourages creativity and innovation.
Desirable
Experience with cloud-based database systems or data platforms is a plus — familiarity with Snowflake's architecture or similar technologies will help you hit the ground running. A background in data analytics or advanced SQL features will enhance your contributions to the team.
What you'll do
As the Engineering Manager for the Query Language team, you will lead a talented group of engineers in the design, development, and support of a highly-parallel and fault-tolerant SQL database system. You will be responsible for hiring and building an outstanding team, ensuring that each engineer has the resources and support they need to excel.
You will collaborate with product managers and other engineering teams to translate product requirements into engineering work — your ability to prioritize tasks and manage timelines will be crucial in delivering high-quality features. You will also play a key role in defining the technical direction of the team, making architectural decisions that impact the performance and scalability of the database.
In addition to technical leadership, you will conduct regular one-on-one meetings with team members to provide feedback and support their professional growth — fostering a culture of continuous improvement and learning will be a priority for you. You will also engage with other teams within Snowflake to share knowledge and best practices, contributing to the overall success of the organization.
What we offer
At Snowflake, you will be part of a dynamic and innovative team that is at the forefront of the data revolution — our culture emphasizes impact, collaboration, and the opportunity to make a difference. We offer competitive compensation and benefits, along with opportunities for professional development and career advancement. Join us in building the world's greatest data and applications platform, and help shape the future of data management.
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