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Staff Data Engineer

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Summary

Staff Data Engineer owning the technical direction and long-term architecture of the data platform at an AI-driven company. You'll build and scale production data pipelines, mentor senior engineers, and support analytics and AI initiatives, working hands-on with Python, SQL, and dbt.

Overview

In this role you will shape the data platform behind an AI-driven technology company, owning long-term architecture and high-impact technical decisions. You’ll work at the intersection of data engineering, AI, and agentic workflows to build scalable foundations for analytics and AI. As a senior individual contributor, you’ll mentor engineers, influence engineering strategy across teams, and balance innovation with reliability to support data-led decisions.

Responsibilities
  • Own the technical direction of the data platform and long-term architecture
  • Build and scale production data platforms and modern data pipelines
  • Influence engineering strategy across teams and lead complex technical initiatives
  • Mentor senior engineers and raise engineering excellence
  • Collaborate with cross-functional teams to support analytics and AI initiatives
Key requirements
  • Staff-level experience with production data platforms
  • Strong expertise in data architecture, distributed systems and multi-tenant environments
  • Hands-on experience with Python, SQL, dbt and modern data pipelines
  • Track record of leading complex technical initiatives and influencing senior stakeholders
  • Passion for solving hard problems, balancing innovation with reliability, and building for the long term
  • leadership without formal authority
  • stakeholder influence
  • problem solving
  • Python
  • SQL
  • dbt

Skills

What Staff Data Engineering jobs ask for — and how much of it you have →
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See also

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