Manager, Analytics Engineering

📋 Description

• Manage and grow the team: Hiring, onboarding, career development, and performance.
• Set the technical bar and own the dbt repository as a shared platform: Review pull requests, make
• Own the warehouse and pipelines: Snowflake, dbt, source ingestion and freshness, external tables
• Model the core business domains: Orders, contracts, claims, and service orders, defined
• Evolve the platform: Lead platform migrations (e.g., moving dbt execution to Snowflake-native
• Partner across the business: Translate stakeholder questions into models, align on shared

🎯 Requirements

• 2+ years managing engineers: Hiring, performance, and career development on a data or analytics
• Advanced SQL and dimensional modeling: Experience modeling a business domain for consumers with
• Deep dbt experience: Owned a repository under version control with testing, PR review, CI, and
• Pipeline engineering: Python and cloud data infrastructure; experience with AWS (Glue, Step
• Reliability ownership: Ran on-call for a data platform, built trusted alerting, and led incident
• Analytical partnership: Supported analysts, data scientists, or quantitative teams; can translate

🎁 Benefits

• Collaborative and supportive environment with a great team from diverse backgrounds.
• Competitive salary based on experience, with full medical, dental, and vision benefits.
• Stock in an early-stage startup growing quickly.
• Generous, flexible paid time off policy.
• 401(k) with Financial Guidance from Morgan Stanley.