Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation. Backed by Sequoia.
About the role
Lead and grow the Analytics Engineering organization: Manage through your direct reports (team leads/managers), setting priorities and technical strategy across the team. Drive Snowflake’s internal data transformation: Lead your teams' ongoing work to create an AI ready data foundation, with an emphasis on documentation, contracts, context, and governance.
What they're looking for
- 10+ years of experience in analytics engineering, data engineering, or data architecture, including second line leadership experience managing managers or senior individual contributors across multiple teams
- A systems thinker at your core: You naturally see how individual data models, pipelines, and architectural decisions connect — and you design for second-order effects, not just the immediate problem
- Deep expertise in Snowflake, including data modeling, data governance (e.g., RBAC design, row access policies and masking policies), and the broader Snowflake feature set (Dynamic Tables, Streams, Tasks, Horizon, Cortex)
- Expert-level dbt skills, including macro development, testing and CI/CD frameworks, and large-scale multi-team project management
- Hands-on experience with Airflow or similar orchestration platforms
- A track record owning finance- or revenue-critical, deadline-driven data pipelines where accuracy and auditability are non-negotiable
More about this role
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is about empowering enterprises to achieve their full potential with Data & AI. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
We're hiring for a Senior Director of Analytics Engineering to join our Data, Analytics, and AI organization (DAA), reporting directly to the Chief Data & Analytics Officer. You will lead a team of 20+ Analytics...
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