Senior Data Engineer

Senior Data Engineer Competencies

1. Cognitive Ability (30%)

• Demonstrates strong deductive reasoning and structured problem-solving, breaking down complex and ambiguous challenges into clear hypotheses and logical conclusions.
• Balances short-term tactical needs with long-term scalability by evaluating tradeoffs in real time.
• Integrates diverse data and business inputs into coherent models that enable better decisions.
• Assesses alternative architectures, tools, or approaches and selects the path that maximizes enterprise value.

2. Execution Orientation (25%)

• Translates complex requirements into production-ready data pipelines, ensuring solutions move from concept to reality.
• Maintains accountability for delivery in fast-paced, M&A-driven environments, persisting through ambiguity and shifting priorities.

3. Attention to Details (20%)

• Applies precision in relational and non-relational database design, ensuring schemas are optimized for both reliability and performance.
• Designs and adapts ETL/ELT pipelines with a disciplined approach, selecting and applying modern tools (e.g., Airflow, dbt, Python) while upholding exacting quality standards.
• Establishes rigorous validation and monitoring practices to safeguard accuracy, consistency, and trustworthiness across complex data flows.

4. System Thinking (15%)

• Recognizes interdependencies across ERP, finance, and operational systems, integrating them into unified models that enable scale and long-term resilience.
• Envisions and designs analytics-ready data architectures that serve diverse use cases, from real-time operations to enterprise reporting.
• Applies governance and metadata practices not as compliance exercises, but as mechanisms to keep systems coherent, secure, and adaptable as the business evolves.

5. Empathy & Collaboration (10%)

• Builds alignment across engineering, finance, and operations by translating technical concepts into clear, accessible language.

• Guides teams and vendors with a collaborative approach, creating trust and accountability while maintaining technical rigor.
  
  
• Balances advocacy for best-practice architecture with empathy for business constraints, enabling pragmatic solutions that teams can adopt and sustain.
• Establishes and enforces validation, quality, and monitoring standards so that systems remain dependable at scale.

10% Annual Bonus