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Senior Data Engineer

Senior Data Engineer

DeployAtlanta, GA, US
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Job Description

Job Description

Senior D ata 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.
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