Distinguished Engineer, Data Platforms
S&P Global (company site, opens in a new tab)13+ yrsHyderabadOn-siteDirect career pageEst. 45–85 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead the transition and delivery of enterprise data pipelines to a cloud-native data platform leveraging AWS and Databricks technologies.
- Drive AI-assisted engineering adoption for data pipeline development, including context engineering and reusable AI playbooks to improve efficiency and code quality.
- Provide technical direction for offshore teams, establish platform standards, and ensure integration with data mastering systems and semantic modeling for governed data usage.
Minimum Requirements
- 10+ years of experience in data engineering, cloud data architecture, or related domains with senior technical leadership roles.
- Hands-on expertise with Databricks, AWS data services (S3, Glue, Lambda, Lake Formation, Kinesis), and cloud-native data platform architectures.
- Practical experience with AI-assisted engineering tools such as Claude, GitHub CoPilot, or LLMs for code generation and optimization.
- Location requirement: Hyderabad; Shift: 12 to 9 pm IST; Hybrid work model with 9 days per month in-office work.
Ideal Candidate Profile
- Experienced senior individual contributor comfortable bridging hands-on engineering with architectural strategy and delivery leadership.
- Deep knowledge of cloud-native governed data lakehouse architectures, semantic data modeling, and data mastering integrations relevant to financial datasets.
- Proven ability to influence technical direction across global teams without direct reporting authority and promote engineering best practices including AI-assisted workflows.