Head of People Analytics Engineering

SoFi; Seattle (WA); On-site; USD 150,000 - 200,000; Full time

Job summary

SoFi is seeking a data engineering leader to drive the People Analytics data platform and AI-assisted analytics on Snowflake. The role combines hands-on coding with people leadership, balancing speed, quality, governance, and innovation.

You will mentor data engineers, design scalable data models, and partner with analytics, legal, and product stakeholders to deliver trusted workforce insights. A strong technical and collaborative mindset is essential.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
• 7+ years in data engineering, analytics engineering, or data platform engineering.
• 5+ years managing or formally leading engineers.
• Proficiency in Python, SQL, dbt, Airflow, Gitlab.
• Experience designing dimensional models, semantic layers, data marts, or analytical data products.
• Experience with data quality, testing, lineage, observability, and production support.
• Strong ability to translate business needs into technical architecture.
• Experience with sensitive or regulated data and access controls.

Responsibilities

• Manage, coach, and grow a team of data engineers.
• Set expectations for quality, collaboration, delivery, and technical ownership.
• Create a strong engineering culture that values fast delivery and quality.
• Collaborate with cross-functional teams to translate requirements into production-ready deliverables.
• Write and review production code; lead design and code reviews.

Skills

Leadership

Communication

Problem-solving

Education

Bachelor's degree in CS/DS/Engineering

Tools

Python

SQL

dbt

Airflow

Gitlab

Snowflake

Redshift

GCP

Job description

SoFi is seeking a data engineering leader to drive the People Analytics data platform and AI-assisted analytics on Snowflake. The role combines hands-on coding with people leadership, balancing speed, quality, governance, and innovation.

You will mentor data engineers, design scalable data models, and partner with analytics, legal, and product stakeholders to deliver trusted workforce insights. A strong technical and collaborative mindset is essential.