Analytics Engineering Manager
Leads an analytics engineering team that transforms raw data into reliable, actionable insights for product, marketing, and operations. The role requires 7+ years in data or analytics engineering, management experience, and advanced SQL, Databricks, and dbt expertise.
About the job
Responsibilities
- Lead, mentor, and grow a team of analytics engineers building and maintaining data pipelines and analytical models.
- Partner with Product, Engineering, Growth, and Operations on scalable data solutions and reporting.
- Establish data best practices, governance, and quality standards.
- Design and optimize data analytics infrastructure for reliability and scalability.
- Oversee project prioritization, delivery, and stakeholder communication.
Requirements
- 7+ years of experience in data engineering, analytics engineering, or business intelligence.
- 2+ years in a technical leadership or management role.
- Advanced expertise in SQL, Databricks, and dbt.
- Experience architecting and scaling data transformation pipelines in a modern cloud environment.
- Strong understanding of data modeling, testing, and documentation.
- Track record of cross-functional collaboration and delivering data-driven business impact.
- Experience leading and developing high-performance technical teams.
- Demonstrated drive and proactivity.
Compensation & Benefits
- Competitive base salary, stock options, and health benefits from Day 1.
- 401(k) plan with company match.
- Remote-friendly work in the US.
- Flexible time off.
- Growth opportunities.
Skills
SQL, Databricks, dbt, Data Engineering, Analytics Engineering, Business Intelligence, Data Modeling, Data Pipelines, Data Transformation, Cloud Computing, Data Governance, Data Testing, Data Documentation, Kubernetes, AWS
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