$191,500 – $277,600
Listed on Moody's Corporation’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads the design and operation of an enterprise data platform serving workforce analytics and AI-enabled insights across Moody's global organization. It suits experienced data engineers and architects who excel at building scalable, governed data structures and can translate business requirements into production-grade data assets.
Our summary, not Moody's Corporation’s wording. The full posting is on their site.
Skills this role names
- Artificial Intelligence
- Data Architecture
- Data Governance
- Data Modeling
- Databricks
- Metadata Management
- Microsoft Fabric
- Power BI
- SQL
- Workday
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What they ask for
Required
- 8+ years in data engineering, analytics engineering, platform engineering, or related field
- Deep expertise in SQL, data modeling, and data architecture
- Experience building and operating modern cloud data platforms and lakehouse architectures
- Strong understanding of data pipeline orchestration, testing, monitoring, and reliability
- Experience implementing data governance, metadata management, lineage tracking, and data quality frameworks
- Ability to translate business concepts into scalable technical data structures and governed data assets
- Deep expertise in artificial intelligence with track record of implementing advanced AI solutions
- Leadership in managing AI-related risks and ethical governance
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field
Nice to have
- Experience with Workday data extraction (RaaS, WQL, Core Connectors) and effective-dated HCM data models
- Familiarity with semantic layers, knowledge graphs, or AI-ready data architectures
- Experience with Microsoft Fabric, Azure Data Platform, Databricks, Power BI semantic models, or similar technologies
- Advanced degree beyond bachelor's