greenhouse
Senior Engineering Manager-People Analytics
SoFi
USA
Senior · 7+ years experience
Discovered 1 weeks ago
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Role Summary:
This role will lead the data engineering function supporting People Analytics, including AI-assisted workforce analytics on Snowflake. This is a player-coach role requiring hands-on technical leadership plus people leadership, with strong business partnership and the ability to balance speed, quality, governance, and innovation.
What you’ll do:
Manage and develop data engineers
Manage, coach, and grow a team of data engineers.
Set expectations for quality, collaboration, delivery, and technical ownership.
Create a strong engineering culture where people solve hard problems, move quickly, and enjoy the work.
Collaborate with cross-functional teams, such as other data engineers, people analysts, data scientists, and business stakeholders, to translate requirements into production-ready deliverables, and communicate technical trade-offs to non-technical partners.
Stay hands on
Write and review production code.
Lead design reviews, code reviews, and technical problem solving.
Step into critical pipelines, models, or AI workflows when needed.
Build scalable People data foundations
Design and maintain sustainable data models, pipelines, semantic layers, and testing frameworks.
Establish team practices for documentation, lineage, data quality, and observability.
Own engineering standards
Set standards for SQL, Python, dbt, Airflow, Snowflake, testing, documentation, CI/CD, and release management.
Ensure the team ships work that is reliable, maintainable, secure, and understandable.
Enforce data governance policies and practices to maintain data integrity, security, and compliance with relevant regulations.
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