Let's begin! Associate Director Data Engineering

At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment were advancing AI to move from insight to actionenabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity helping our clients navigate uncertainty with clarity speed and confidence.

If you are excited about this opportunity but do not meet every single requirement please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship lead with curiosity champion diverse perspectives turn inputs into actions and uphold trust through integrity.

• Significant hands-on experience in data engineering analytics engineering or related disciplines delivering enterprise data solutions
• Strong proficiency in Databricks SQL and Python/PySpark including building optimizing and troubleshooting ETL pipelines
• Experience designing scalable maintainable data architectures and dimensional models for BI reporting and analytical use cases
• Proven ability to partner with business stakeholders to gather requirements shape solutions and communicate effectively
• Strong understanding of data engineering best practices including version control testing documentation and governance
• Experience with Git/GitHub for collaborative development code reviews and release management
• Exposure to metadata-driven or configuration-based approaches such as YAML-based metric standardization
• Knowledge of Power BI and/or Microsoft Fabric particularly for semantic modeling and downstream data consumption
• Demonstrated people leadership including coaching and developing junior engineers
• Strong organizational problem-solving and communication skills with the ability to balance technical delivery and apply AI-enhanced practices to improve productivity

• Bachelors or Masters degree in Computer Science Data Engineering Information Systems or a related field or equivalent practical experience

• Partner with business stakeholders to translate reporting planning and analytical requirements into scalable data solutions
• Deliver curated well-documented datasets aligned to agreed definitions and business expectations
• Act as a trusted technical partner balancing delivery speed data quality and long-term scalability
• Architect modular ETL pipelines to improve maintainability reuse and traceability
• Define and uphold engineering standards across coding testing documentation and version control practices
• Support BI lakehouse development and integration across the broader data ecosystem
• Manage ETL orchestration dependencies and deployments to ensure reliability and operational stability
• Monitor production performance and resolve root causes to prevent recurring data delivery issues
• Apply dimensional modeling and support Unified Star Schema development to ensure semantic consistency
• Mentor and coach junior engineers while promoting strong technical standards and collaborative ways of working

Moodys is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability protected veteran status sexual orientation gender expression gender identity or any other characteristic protected by law.

Candidates for Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy including remediation of positions in those holdings as necessary.