Associate Director, Data Platforms — Technical Lead
S&P Global (company site, opens in a new tab)9–13 yrsHyderabadOn-siteDirect career pageEst. 35–55 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead transition and implementation of data pipelines into AWS cloud-native and Databricks lakehouse platforms, ensuring platform consistency, reliability, and observability.
- Define and operationalize scalable, reusable onboarding patterns supporting diverse data domains, including integration with enterprise data mastering and governance platforms.
- Provide senior technical leadership on data platform engineering, influencing architecture and engineering standards without direct people management.
Minimum Requirements
- 8+ years experience in data engineering, cloud data architecture, or related domains.
- Strong hands-on expertise with AWS data services (S3, Glue, Lambda, Kinesis, Lake Formation) and Databricks lakehouse technologies including pipeline migration and governance.
- Experience with modern data engineering best practices including version control, automated testing, CI/CD, release automation, and monitoring.
- Location: Hyderabad; Shift: 12 to 9 pm IST; Office work model: 2 days/week or 9 days per month on-site.
Ideal Candidate Profile
- Senior technical individual contributor experienced navigating complex, distributed, globally collaborative environments with cross-time zone delivery experience.
- Practitioner with deep expertise integrating data mastering/MDM platforms and data governance in production pipeline workflows.
- Experienced in applying AI/LLM-assisted software engineering tools in data engineering contexts to improve pipeline quality, testing, and operational support.