Lead Data Platform Engineer for City Data Services

Socket.dev

San Francisco (CA)

Hybrid

USD 150,000 - 210,000

Full time

8 days ago

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Job summary

City and County of San Francisco DataSF seeks a principal engineer to lead its data practice, owning the department-facing experience and translating departmental needs into scalable platform solutions.

You will start as an individual contributor, partnering with analytics engineers, and may grow to manage a small team as the practice expands, shaping governance, data quality, and self-service data access for city departments.

Qualifications

  • Minimum qualifications as listed: associate degree or equivalent; five years of experience with systems/platform components.
  • Strong hands-on data platform or data engineering background building and operating pipelines, data modeling, and governance are preferred.
  • Experience translating departmental needs into technical work and driving platform adoption.

Responsibilities

  • Own the full department engagement lifecycle—from initial conversation through scoping, onboarding, delivery, and ongoing support.
  • Define and publish the DataSF service catalog with measurable criteria for standard work vs. scoped projects.
  • Partner with departments to model data domains and translate needs into actionable requirements for the platform.
  • Shape analytics engineering practices including dbt models, pipelines, data quality, and reusable standards.
  • Build self-service pathways for departments to access data and assess trustworthiness.

Skills

Data engineering
Analytics engineering
SQL
Stakeholder management

Education

Associate degree in CS/CE/IS
Equivalent qualification / 60+ credits

Tools

Snowflake
dbt
ETL pipelines

Job description

City and County of San Francisco DataSF seeks a principal engineer to lead its data practice, owning the department-facing experience and translating departmental needs into scalable platform solutions.

You will start as an individual contributor, partnering with analytics engineers, and may grow to manage a small team as the practice expands, shaping governance, data quality, and self-service data access for city departments.

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