Sr Data Engineer

As a Sr Data Engineer at NTT DATA, your role will involve engaging heavily with business users across North America and Europe to facilitate workshops and data discovery sessions. You will drive consensus on business rules, data definitions, and data sources, especially where regional processes differ. Additionally, you will serve as the architectural thought leader, enabling teams to transition from manual, inconsistent processes to standardized, modernized workflows. Partnering closely with business analysts, data analysts, product owners, and engineering teams across multiple geographies will be a key aspect of your responsibilities. Key Responsibilities:

• Architect a unified master stitched data model to replace downstream reliance on Varicent for data assembly. - Lead the rearchitecture of compensation data processing into a scalable, cloudnative Azure environment. - Define patterns, frameworks, and integration strategies across Azure services (Data Factory, Databricks, Data Lake, SQL, etc.). - Evaluate and evolve the use of rules engines/ODM/Drools to externalize and modernize embedded business logic currently locked in application code. - Guide decisions to shift logic and data ownership into enterpriseowned systems rather than thirdparty tools. In addition to the above, you will be responsible for analyzing currentstate processes and identifying opportunities for reengineering, automation, and consolidation. Supporting a multiyear transformation roadmap with three Scrum teams delivering highstakes, highaccuracy systems will also be part of your role. You will lead the design of an impact analysis capability enabling the business to assess how portfolio or organizational changes influence compensation outcomes, ensuring the architecture supports extensibility, auditability, and traceability for sensitive compensation workflows. Qualifications Required: