Senior Data Engineer

What this level means

Fully competent professional; works independently on standard projects

Scope

Features or a sub-system end-to-end

Autonomy

Works independently on standard work; reviewed on the non-standard

Complexity

Diverse problems; adapts existing approaches

Impact

Project / team outcomes

Decision rights

Owns implementation decisions for own scope

Leadership

Mentors juniors informally

Typical experience

3–5 yrs

What you'd do

• Lead data engineering efforts
• Influence data strategy
• Architect large-scale data systems
• Mentor junior data engineers
• Ensure scalability and performance of data systems
• Collaborate with cross-functional teams on data initiatives
• Drive innovation in data engineering practices
• Oversee data governance and compliance
• Lead data engineering efforts.
• Influence data strategy.
• Architect data systems.
• Mentor junior engineers.
• Ensure system scalability.

Skills, knowledge & tools

• Data architecture
• Performance tuning
• Leadership
• Strategic planning
• Innovation
• Collaboration
• Data governance
• Mentorship
• Large-scale data systems
• Performance optimization
• Data strategy
• Leadership principles
• Innovation in data engineering
• Cross-functional collaboration
• Data governance
• Compliance standards
• Architecture of large-scale data systems
• Performance tuning for big data
• Leadership
• Strategic Thinking
• Innovation
• Cross-functional collaboration
• Data governance
• Mentorship

What good looks like

• Architecture of large-scale data systems
• Implemented a data platform or major re-architecture
• Bachelor’s or Master’s degree in Computer Science or related field
• 5+ years of experience in data engineering
• Leadership training or certification

Common titles

What it pays

Market-pay benchmarks for this family × level are being recalibrated across all survey sources and will return shortly.

O*NET / SOC: 15-0000 — Computer & Mathematical Occupations (inferred)

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