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Senior Director, Analytics Engineering, Data Analytics & AI

Snowflake Inc.· Data Analytics and AI
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US-CA-Menlo ParkFull-timePosted 4w ago

About the role

Senior-level leadership role leading the Analytics Engineering organization within Snowflake's Data, Analytics, and AI group, focusing on building and operating pipelines behind revenue, bookings, people analytics, and go-to-market reporting in a governed data platform. Reports to the Chief Data & Analytics Officer. In-office requirement: minimum 3 days/week in Menlo Park, CA.

Responsibilities

  • - 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 ongoing work to create an AI ready data foundation with emphasis on documentation, contracts, context, and governance.
  • - Own Snowflake’s internal analytics agents: Build, improve, and maintain general purpose analytics agents and underlying context and semantic layers used across the organization, including evals, orchestration instructions, and ground truth data sets
  • - Champion AI-assisted engineering: Drive adoption of Cortex Code-based agentic workflows and reusable skills to speed up typical Analytics Engineering jobs-to-be-done, including model development, PR review, and root-cause analysis.
  • - Act as Snowflake’s customer zero: Be the first trusted tester of Snowflake’s own features across the data engineering and transformation stack, engaging with Product and Engineering on roadmaps
  • - Represent Snowflake: Support GTM and Frontier Engineering teams by joining customer conversations, supporting speaking engagements, and publishing thought leadership
  • - Continually push our stack forward: Adopt the latest internal Data and AI capabilities to push the boundaries of what we can accomplish on Snowflake
  • - Partner cross-functionally: Serve as the primary escalation point for business stakeholders and drive toward a common roadmap, transforming upstream processes with data in mind
  • - Represent your teams upward and cross-org: Contribute team patterns and learnings to the broader Data, Analytics, and AI org’s initiatives

Qualifications

  • - 10+ years of experience in analytics engineering, data engineering, or data architecture, including second line leadership across multiple teams
  • - Systems thinker with ability to design for second-order effects
  • - Deep expertise in Snowflake (data modeling, data governance, RBAC, row/ masking policies, Dynamic Tables, Streams, Tasks, Horizon, Cortex)
  • - Expert-level dbt skills (macro development, testing, CI/CD, multi-team project management)
  • - Hands-on experience with Airflow or similar orchestration platforms
  • - Track record owning finance- or revenue-critical data pipelines with accuracy/auditability
  • - Familiarity with GTM and sales analytics domains (MDM, consumption & attainment pipelines, quota/territory data)
  • - Advanced adoption of AI-assisted engineering tools (Cortex Code, Claude Code, or similar) including agentic skill development and prompt engineering for data workflows
  • - Proven ability to drive large-scale data transformation initiatives
  • - Experience with downstream BI/consumption layers (Streamlit, Sigma, Tableau)
  • - Comfortable working in Jira/Confluence-based agile delivery
  • - Excellent written and verbal communication skills with ability to write technical specs for non-technical audiences

Skills

Required:Analytics Engineering leadershipSnowflake platform (data modeling, governance, RBAC, masking, features)dbtOrchestration (Airflow or similar)AI-assisted engineering toolsData pipelines in finance/revenue domainCommunication with stakeholders
Nice to have:BI/consumption layers

Benefits

  • Equity
  • Bonus
  • Competitive salary within stated range (US)
  • In-office role with hybrid flexibility (at least 3 days in Menlo Park)
Last updated Sep 24, 2026. Interested? Apply on the company site.

About Snowflake Inc.

The Data Platform Built for Data Teams.

Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation.

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