Senior Director, Software Engineering, Data Platform & MDM Integration

S&P Global

Quick summary

Work type: On-site
Location: New York, NYPrinceton, NJ
Salary: $185,000–$265,000 / yr
Posted: 1 day ago
Closes: Jul 1, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k

This role $225k

$157k most similar roles pay here $277k

This role pays more than 66% of similar roles. Most pay $174,050–$245,006 — the shaded band above. At the midpoint, this role pays about $225k versus about $210k 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 22 open roles on FindRole.

Listed pay typically runs $149,031–$225,000 across 16 roles with salary data.

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View all roles at S&P Global

At a glance

TL;DR · Senior Director, Software Engineering, Data Platform & MDM Integration

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This senior leadership role within S&P Global Dow Jones Indices involves leading strategic data management initiatives, including the integration of Databricks lakehouse with NeoXam MDM platform for multi-billion-dollar financial products. The candidate will drive advanced cloud data architecture using cutting-edge Databricks features and pioneer AI/ML automation solutions to enhance data quality and performance. Additionally, they will manage and grow high-performing engineering teams while modernizing legacy infrastructure by migrating assets to AWS. Ideal candidates have extensive experience in enterprise-scale data platform development, cloud infrastructure management, and leading large-scale data migrations. Proficiency in Databricks, AWS services, and AI/ML frameworks is essential, along with a strong background in Master Data Management platforms and big data technologies.

Skills

Databricks AWS Snowflake S3 EMR Glue Lambda NeoXam Mosaic AI MLflow Kubeflow LangChain Apache Spark Hadoop Delta Live Tables Unity Catalog Serverless compute Master Data Management CI/CD

What you'll do

Lead strategic integration of Databricks lakehouse with NeoXam MDM platform for financial products.
Drive advanced cloud data architecture using Databricks features to optimize performance for large datasets.
Implement AI/ML automation solutions to enhance data transformation and quality assurance processes.
Build and scale high-performing engineering teams, mentoring professional development.
Modernize legacy infrastructure by migrating assets to AWS cloud ecosystem with microservices.

What we're looking for

Minimum 9 years of experience in software engineering and data platform development with a focus on enterprise-scale solutions.
At least 7 years of leadership experience managing technical teams and driving organizational growth in fast-paced environments.
Advanced expertise in cloud data platforms like Databricks, Snowflake, or similar, including data lakehouse architectures and ETL/ELT processes.
Strong hands-on experience with AWS services such as S3, EMR, Glue, Lambda, or equivalent cloud platforms (Azure, GCP).
Proven leadership in large-scale data migrations and system modernization initiatives, managing complex technical transformations.
Bachelor's degree in Computer Science, Engineering, or a related technical field.

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