One platform to secure every identity! See how to dynamically adjust access, automate decisions, and enforce least privilege as threats evolve. Backed by Lightspeed.
About the role
We are looking for a Manager, Data Engineering & Analytics to own the architecture, delivery, and evolution of our enterprise data platform. This is a hybrid leadership and hands-on role: you’ll manage a team of data engineers while staying close to the data modeling, pipeline architecture, and business automation work that keeps the platform running. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years in Data Engineering, Analytics Engineering, or Enterprise Data Solutions
- 2+ years of formal people management, or demonstrated experience leading engineering squads, sprint planning, and managing backlogs in Jira
- Production-level experience designing, optimizing, and managing a cloud data warehouse (Google BigQuery or Snowflake preferred)
- Advanced dbt experience — architecting and deploying projects using macros, tests, incremental models, and documentation
- Hands-on experience building integrations using an enterprise iPaaS (e.g., SnapLogic, Workato, Fivetran, Boomi) and third-party REST APIs
- Hands-on experience administering a modern BI platform (Tableau user management, data sources, and site administration preferred)
More about this role
We are looking for a Manager, Data Engineering & Analytics to own the architecture, delivery, and evolution of our enterprise data platform. This is a hybrid leadership and hands-on role: you’ll manage a team of data engineers while staying close to the data modeling, pipeline architecture, and business automation work that keeps the platform running.
You will act as the bridge between business stakeholders and technical execution — scoping requirements, architecting scalable solutions in Google BigQuery and dbt, orchestrating integrations through SnapLogic, and overseeing our Tableau environment.
Team Leadership & Agile Delivery
- Manage and mentor a team of data engineers, providing regular feedback, technical coaching, performance reviews, and career development support.
- Own the team’s Jira board and lead Agile/Scrum ceremonies, including backlog grooming, sprint planning, task estimation, and delivery tracking.
- Build a culture of technical excellence, accountability, clear documentation, and continuous learning.
Data Architecture, Engineering & Business Automation
- Architect and maintain our data transformation layer in dbt, ensuring modular, tested, and well-documented...
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