Associate Director, Enterprise Architecture Observability Data Engineering

S&P Global

Not specified; not specified; competitive pyy, ret...
**
Graph database technologies and knowledge graph development
Databricks or similar distributed computing frameworks
Sql and python for data pipeline development
** S&P Global is seeking an Associate Director for their Enterprise Architecture Observability Data Engineering team, focusing on the integration of data solutions and governance across the organization. The ideal candidate should have significant experience in data engineering, particularly with graph databases and modern data platforms, and will play a key role in transforming the company's architecture into a dynamic, queryable system. **

Job Summary

  • This role supports the engineering of S&P Global's architecture observability strategy to transform enterprise architecture into a dynamic, queryable system.
  • The position requires building scalable data lake and fabric solutions including comprehensive data pipelines and knowledge graph ontology frameworks.
  • Candidates will join a newly formed team overseeing ~150 architects to drive alignment between technical solutions and business needs across all divisions.

Matching Summary

Match Score: 75

** S&P Global is seeking an Associate Director for their Enterprise Architecture Observability Data Engineering team, focusing on the integration of data solutions and governance across the organization. The ideal candidate should have significant experience in data engineering, particularly with graph databases and modern data platforms, and will play a key role in transforming the company's architecture into a dynamic, queryable system. **

Salary

Not specified; Not specified; Competitive pay, retirement planning, health care coverage, flexible downtime, continuous learning, family friendly perks

Skills & Requirements

Must-have

  • Graph database technologies and knowledge graph development
  • Databricks or similar distributed computing frameworks
  • SQL and Python for data pipeline development
  • Semantic layer architecture design
  • Enterprise-scale data solutions engineering

Nice-to-have

  • Experience with CI-CD pipelines and GitHub
  • Familiarity with Azure Dev Ops tools
  • Dual-purpose data solutions for BI and AI
  • Architecture capability community building

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 5+ years of experience in data engineering
  • US Candidates Only requirement

Work Rights

US Candidates Only

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