VP-Data Engineer (People Analytics)

Moody's Investors Service; New York, Northern (NY, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Moody's Investors Service seeks a senior data engineer to design scalable data architectures and manage cloud data platforms. You will implement data governance, quality controls, and reliable data pipelines while collaborating with cross-functional teams to translate business needs into governed data assets.

The role emphasizes building reusable data structures, ensuring data integrity, and advancing lakehouse capabilities to enable faster, smarter risk insights for clients.

Qualifications

• 8+ years in data/analytics engineering or related disciplines.
• Deep SQL, data modeling and scalable data architecture experience.
• Experience with cloud data platforms and lakehouse architectures.
• Knowledge of data governance, lineage, and quality frameworks.
• Familiarity with data pipelines, orchestration, testing and monitoring.

Skills

Data engineering

SQL/data modeling

Cloud data platforms

Data governance

Workflow orchestration

Data quality

Workday data extraction

Job description

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action - enabling 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.

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status,sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody's also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [e-mail].

Skills and Competencies

• 8+ years of experience in data engineering, analytics engineering, platform engineering, or related disciplines
• Deep expertise in SQL, data modeling, and data architecture with proven ability to design scalable, reusable data structures
• Experience building and operating modern cloud data platforms and lakehouse architectures
• Strong understanding of data pipeline orchestration, testing, monitoring, and reliability practices
• Experience implementing data governance, metadata management, lineage tracking, and data quality frameworks
• Ability to translate business concepts and workforce requirements into scalable technical data structures and governed data assets
• Experience with Workday data extraction (RaaS, WQL, Core Connectors) and effective-dated