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Senior Engineering Manager (People Analytics)

SoFi

This job is closed: the employer no longer lists it.

Skills

Required

  • analytics
  • data engineering
  • Snowflake / Redshift / GCP
  • data quality
  • observability
  • Data Science
  • data platform engineering
  • Python / SQL / dbt / Airflow / Gitlab

Preferred

  • AI / Streamlit / semantic models / evaluation frameworks
  • Cortex
  • LLM / RAG / natural language analytics
  • People data foundations
  • data models
  • pipelines

Join our team as a Senior Engineering Manager (People Analytics) where you will lead the data engineering function supporting People Analytics. This role requires hands-on technical leadership and people leadership, with a strong focus on business partnership. You will manage and develop a team of data engineers, create a strong engineering culture, collaborate with cross-functional teams, and own engineering standards. Additionally, you will support AI-enabled analytics and balance speed and rigor in your work.

Responsibilities

  • Manage and develop a team of data engineers, setting expectations for quality, collaboration, delivery, and technical ownership.
  • Collaborate with cross-functional teams to translate requirements into production-ready deliverables, and communicate technical trade-offs to non-technical partners.
  • Lead the design, maintenance, and improvement of scalable People data foundations, including data models, pipelines, and testing frameworks.
  • Proven ability to coach engineers and build healthy technical culture

Requirements

  • Experience with data quality, testing, lineage, observability, and production support
  • Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans

Strong communication with technical and non technical stakeholders

  • A bachelor's degree in Computer Science, Data Science, Engineering, or a related field
  • 7+ years in data engineering, analytics engineering, or data platform engineering
  • Strong ability to translate business needs into technical architecture
  • Proficiency in data engineering tech stack: Python / SQL / dbt / Airflow / Gitlab
  • Proficiency in relational and cloud database platforms such as Snowflake, Redshift, or GCP
  • Thorough knowledge of data modeling, database design, data architecture principles, data operations, and CI/CD
  • Experience with sensitive or regulated data and access controls

5+ years managing or formally leading engineers

  • Experience designing dimensional models, semantic layers, data marts, or analytical data products
  • People analytics, HR data, compensation, talent, workforce planning, or Workday experience

Preferred

Experience in fintech, banking, or regulated environments

  • Experience with Snowflake Cortex AI, Streamlit, semantic models, or evaluation frameworks
  • Experience building AI, LLM, RAG, or natural language analytics products

Pay

USD 163,200 - 280,500