GlossGenius is building an ecosystem that enables entrepreneurs to succeed, offering business management tools for small business owners. As an Analytics Engineering Manager, you will lead the team responsible for data modeling infrastructure and partner with various departments to ensure reliable data models that inform business strategy.
Responsibilities:
- Manage, mentor, and grow a team of high-performing Analytics Engineers that owns the transformation lifecycle of data in dbt and beyond
- Define and execute the AE roadmap in partnership with stakeholders to ensure they have clean, interpretable data to inform decisions and power operations
- Prioritize strategic initiatives alongside operational needs and stakeholder requests
- Define and enforce modeling standards across domains (Product, Finance, Sales, CX, and GTM) to ensure a consistent and efficient developer experience in dbt
- Partner with Data Engineering on schema design for new features and event instrumentation
- Own the dbt project’s CI/CD pipeline and testing framework, iterate on documentation and code review practices, and balance development velocity with data reliability
- Expand domain coverage and data context within the Hex-powered semantic layer to drive the adoption and retention of self-serve analytics for analysts, PMs, and operators
- Own the systems that push modeled data into operational tools and partner with go-to-market teams on segments, triggers, and activation logic
Requirements:
- 2+ years of management experience
- 6+ years of experience with at least two building data pipelines and working with data technologies
- Expert proficiency in SQL and dbt
- A naturally inquisitive, critical thinker, who enjoys and is effective at solving problems
- A demonstrated self-starter with strong communication and project management skills
- Experience with event streaming or real-time data technologies is a plus (open source or vendor)
- Familiarity with the tools in our stack (Segment, Fivetran, Snowflake, dbt, Hex, Airflow) is preferred