Director Of Data & Analytics Engineering

Amplify Education

Remote
Base: $220,000 - $250,000; bonus/equity: eligible ...
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Data platform and pipeline development
Analytics engineering strategy
Mlops and platform operations
** Amplify Education is seeking a Director of Data & Analytics Engineering to lead their data engineering and analytics functions in a fully remote role. The position requires extensive experience in data engineering, analytics, and team management, with a focus on developing scalable data solutions and fostering a high-performing team. **

Job Summary

  • Lead the development of scalable data platforms, pipelines, and models to empower data-informed decisions across Amplify.
  • Oversee data engineering and analytics engineering functions, including technical vision, architectural strategy, and team development.
  • Develop and implement data engineering and analytics engineering strategy in collaboration with the VP of Data and peer directors.

Matching Summary

Match Score: 75

** Amplify Education is seeking a Director of Data & Analytics Engineering to lead their data engineering and analytics functions in a fully remote role. The position requires extensive experience in data engineering, analytics, and team management, with a focus on developing scalable data solutions and fostering a high-performing team. **

Salary

Base: $220,000 - $250,000; Bonus/Equity: Eligible for annual discretionary bonus; Benefits: 401(k) plan, stock options, competitive health insurance and mental health options, basic life insurance, paid time off, parental leave, access to development programs

Skills & Requirements

Must-have

  • Data platform and pipeline development
  • Analytics engineering strategy
  • MLOps and platform operations
  • Agentic tooling adoption
  • Cloud infrastructure cost optimization

Nice-to-have

  • Metadata management tools
  • Lakehouse data modeling paradigms
  • Natural language querying tools
  • Open-source contributions
  • Experience in education or ed-tech

Key Requirements

  • Bachelor's degree or equivalent experience
  • 10+ years in data/analytics engineering
  • 5+ years people management experience
  • 3+ years managing managers
  • Experience with modern data stack technologies
  • Experience with ETL/ELT pipeline design
  • Experience with data observability tools
  • Familiarity with agentic coding tools

Work Rights

Not specified

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