Leadership experience: 2+ years leading or formally managing data professionals
Strong foundational data modeling experience: 6+ years building and owning shared, reusable core data models in modern data platforms
Experience supporting SaaS businesses: Familiarity with product usage, and customer data common to SaaS environments
Hands-on technical depth: Advanced SQL, strong Python, experience with Spark, and comfort working in a modern lakehouse environment (e.g., Databricks)
Operational mindset: Experience designing for data quality, reliability, and availability, including workflow orchestration with Airflow or Astronomer
Reuse-first thinking: Proven ability to build foundational models and metric definitions that support multiple use cases rather than one-off data marts
Systems awareness: Understanding of performance, cost, governance, security, and compliance considerations for shared data
Collaborative approach: Ability to partner effectively with Product, Data Platform, Business Analytics, Engineering, and Data Science teams
Pragmatic delivery mindset: You know when to ship and when to invest in durability
Interest in AI-assisted development: You actively explore AI tools to improve how you and your team build and maintain data models
Experience supporting data used for AI/ML model training
Background working on a data infrastructure or data platform team
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience