Director, Enterprise Architecture Observability Data Engineering

S&P Global

Not specified; competitive pyy; retirement plannin...
**
Graph database technologies and knowledge graph development
Modern data platforms including databricks and microsoft fabric
Sql and python for enterprise-scale data processing
** S&P Global is seeking a Director of Enterprise Architecture Observability Data Engineering to lead the establishment of an innovative data engineering practice within their newly formed Enterprise Architecture office. The ideal candidate will have extensive experience in data architecture and engineering, particularly with graph databases and modern data platforms, and will contribute to the company's mission of aligning technology and business functions to enhance AI readiness. **

Job Summary

  • This role leads the strategic direction of the Enterprise Architecture Data Engineering practice to support S&P Global's architecture observability strategy.
  • The position involves designing scalable data lake solutions and building robust bridges connecting traditional analytics to knowledge graph systems.
  • Candidates will mentor fellow data engineers and foster innovation in graph database technologies within a newly formed office overseeing ~150 architects.

Matching Summary

Match Score: 75

** S&P Global is seeking a Director of Enterprise Architecture Observability Data Engineering to lead the establishment of an innovative data engineering practice within their newly formed Enterprise Architecture office. The ideal candidate will have extensive experience in data architecture and engineering, particularly with graph databases and modern data platforms, and will contribute to the company's mission of aligning technology and business functions to enhance AI readiness. **

Salary

Not specified; Competitive pay; Retirement planning and financial wellness programs included

Skills & Requirements

Must-have

  • Graph database technologies and knowledge graph development
  • Modern data platforms including Databricks and Microsoft Fabric
  • SQL and Python for enterprise-scale data processing
  • Dual-track data engineering for BI and AI systems
  • Semantic layer architecture design

Nice-to-have

  • Experience with Enterprise Architecture management tools like LeanIX or Ardoq
  • Familiarity with CI-CD pipelines using GitHub and Azure DevOps
  • Mentoring capabilities for advanced data engineering practices
  • Knowledge of agentic AI solution architecture

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 8+ years of experience in data engineering
  • At least 3 years managing data architecture initiatives
  • US Candidates Only

Work Rights

US Candidates Only

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