Sr. Director, Software Engineering – Data Platform & MDM Integration

S&P Global • Princeton, NY

4d

About The Position

This team is essential to the division's data strategy, playing a key role in data transformation and leading efforts to replace legacy technical debt. The team embodies a strong commitment to delivering on business needs and demonstrates exceptional collaboration with both product and business partners, bringing high energy and dedication to their work while being known for their collaborative approach and strong technical expertise. Responsibilities and Impact: Lead strategic MDM integration initiatives - Architect and oversee seamless, high-volume data integration between Databricks lakehouse and NeoXam MDM platform, establishing foundational data architecture for multi-billion-dollar index-linked investment products Drive advanced cloud data architecture - Utilize cutting-edge Databricks features including Unity Catalog, Delta Live Tables, and Serverless compute to optimize data pipelines and maximize performance for massive-scale financial datasets Pioneer AI/ML automation solutions - Implement Databricks Mosaic AI and agentic frameworks to automate data transformation, quality assurance, and anomaly detection across the entire conversion lifecycle Build and scale high-performing engineering teams - Lead, manage, and grow multiple teams of product-focused software and data engineers while mentoring their professional and technical development Modernize legacy infrastructure - Spearhead mission-critical migration of legacy assets and terabytes of data to modern AWS cloud ecosystem, breaking monolithic applications into microservice architectures Champion engineering excellence and innovation - Foster a culture of cutting-edge technology adoption, continuous improvement of software engineering practices, and delivery of scalable, resilient solutions

Requirements

• Bachelor's degree in Computer Science, Engineering, or related technical field
• Minimum 9 years of experience in software engineering and data platform development with proven track record in enterprise-scale solutions
• Minimum 7 years of people management experience leading technical teams and driving organizational growth in fast-paced environments
• Advanced expertise in cloud data platforms such as Databricks, Snowflake, or similar, with hands-on experience in data lakehouse architectures and ETL/ELT processes
• Strong experience with cloud infrastructure including 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, with experience managing complex technical transformations

Nice To Haves

• Master's degree in Computer Science, Software Engineering, or related technical discipline with 13+ years of progressive software development and data architecture experience
• Deep expertise in Master Data Management platforms such as NeoXam, Informatica MDM, or IBM InfoSphere, with proven success integrating enterprise data platforms
• Advanced AI/ML and Generative AI experience including hands-on work with machine learning frameworks (such as MLflow, Kubeflow, or SageMaker) and LLM implementation using tools like LangChain, Hugging Face, or similar platforms
• Extensive experience with Big Data technologies including distributed computing frameworks (such as Apache Spark, Hadoop, or Flink) and modern data processing architectures

Responsibilities

• Lead strategic MDM integration initiatives - Architect and oversee seamless, high-volume data integration between Databricks lakehouse and NeoXam MDM platform, establishing foundational data architecture for multi-billion-dollar index-linked investment products
• Drive advanced cloud data architecture - Utilize cutting-edge Databricks features including Unity Catalog, Delta Live Tables, and Serverless compute to optimize data pipelines and maximize performance for massive-scale financial datasets
• Pioneer AI/ML automation solutions - Implement Databricks Mosaic AI and agentic frameworks to automate data transformation, quality assurance, and anomaly detection across the entire conversion lifecycle
• Build and scale high-performing engineering teams - Lead, manage, and grow multiple teams of product-focused software and data engineers while mentoring their professional and technical development
• Modernize legacy infrastructure - Spearhead mission-critical migration of legacy assets and terabytes of data to modern AWS cloud ecosystem, breaking monolithic applications into microservice architectures
• Champion engineering excellence and innovation - Foster a culture of cutting-edge technology adoption, continuous improvement of software engineering practices, and delivery of scalable, resilient solutions

Benefits

• Health care coverage designed for the mind and body.
• Generous time off helps keep you energized for your time on.
• Access a wealth of resources to grow your career and learn valuable new skills.
• Competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Perks for your partners and little ones, too, with some best-in class benefits for families.
• Retail discounts to referral incentive awards

What This Job Offers

• Job Type: Full-time
• Career Level: Director