Director, Data Integration & Workflows in New York, New York | S&P Global

S&P Global

Quick summary

Work type
On-site
Location
New York, NY
Salary
$149,031–$228,996 / yr
Posted
2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $201k
This role $189k
$138k most similar roles pay here $251k

This role pays less than 54% of similar roles. Most pay $162,873–$240,000 — the shaded band above. At the midpoint, this role pays about $189k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About S&P Global

S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead.

S&P Global currently has 25 open roles on FindRole.

Listed pay typically runs $142,000–$207,700 across 15 roles with salary data.

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View all roles at S&P Global

At a glance

TL;DR · Director, Data Integration & Workflows in New York, New York | S&P Global

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The Director of Data Integration & Workflows leads the enablement strategy at S&P Dow Jones Indices, overseeing a team responsible for building scalable and maintainable data pipelines and workflow patterns. This role involves defining technical standards for ETL/ELT processes, orchestration frameworks, and observability tools, while collaborating with product development teams to enhance the data platform. Key responsibilities include mentoring a high-performing team, developing training programs, ensuring production readiness through rigorous quality gates, and fostering cross-functional partnerships. The ideal candidate has extensive experience in data engineering, leadership roles, and expertise in cloud infrastructure, ETL/ELT design patterns, and modern data platforms like AWS or Azure, along with proficiency in Python, SQL, Scala, and knowledge of DevOps practices.

Skills

AWS Azure GCP ETL/ELT Kubernetes Docker Python SQL Scala CI/CD Terraform Prometheus Grafana DevOps Data质量管理框架 监控和警报系统 数据治理原则 合规框架

What you'll do

  • Define and drive data automation and transformation strategy for production-ready pipelines.
  • Establish reference architectures and engineering standards for ETL/ELT, orchestration, and observability.
  • Oversee design and implementation of robust, reusable data integration patterns for batch and streaming use cases.
  • Develop and implement training programs to enhance technical proficiency in data engineering practices.
  • Ensure all solutions are production-ready with comprehensive documentation, testing, and operational monitoring.

What we're looking for

  • 10+ years of experience in data engineering, integration, or related technical roles
  • 5+ years of leadership experience managing technical teams and delivering complex data solutions
  • Deep expertise in ETL/ELT design patterns, data pipeline architecture, and workflow orchestration frameworks
  • Strong knowledge of batch and streaming data processing technologies and modern cloud infrastructure (AWS, Azure, GCP)
  • Proficiency in programming languages commonly used in data engineering such as Python, SQL, Scala
  • Understanding of data quality, observability, monitoring systems, and DevOps practices including CI/CD pipelines

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