Lead and mentor a team of data engineers, ensuring high performance, strong collaboration, and continuous skill development.
Define and drive the data engineering roadmap aligned with enterprise analytics strategy.
Partner with Finance, BI, and business stakeholders to understand requirements and translate them into scalable data solutions.
Oversee the design, build, and maintenance of data pipelines, data models, and ETL/ELT processes across Snowflake and Microsoft Fabric.
Architect and optimize Snowflake environments, including warehouse sizing, performance tuning, security, and cost management.
Lead the development of robust semantic models and datasets to support Power BI reporting and self-service.
Ensure data quality, governance, and documentation standards are consistently applied.
Build and maintain enterprise-grade data models (star/snowflake schemas, fact/dimension structures).
Support Finance with data structures that enable forecasting, GL reporting, profitability analysis, and other financial analytics.
Collaborate with BI developers to ensure models are optimized for Power BI performance and usability.
Implement best practices for CI/CD, version control, testing, and deployment of data pipelines and models.
Monitor and troubleshoot data refreshes, pipeline failures, and performance issues.
Drive automation and efficiency improvements across the data engineering lifecycle.

7+ years of experience in data engineering, analytics engineering, or related fields.
2+ years of experience leading or managing technical teams.
Strong hands-on experience with Snowflake (data modeling, performance tuning, security, ELT).
Experience with Microsoft Fabric and Power BI (datasets, semantic models, DAX).
Advanced proficiency in SQL and working knowledge of DAX.
Proven experience building and maintaining scalable data models and pipelines.
Understanding of financial data structures (GL, forecasting, budgeting, revenue, etc).

Freedom to Work program: Set your own schedule and location (as appropriate).
Principal program: Earn the opportunity to become an owner of the firm.
Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
Career development: Explore a wide range of learning and growth opportunities within and across industries.
Health, life, vision, and dental insurance: Cover all your medical bases.
Paid sick time, retirement plan, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more!

Manager, Data Engineering

Key skills