AI Data & Knowledge Engineer- Assistant Vice President
State Street Corporation (company site, opens in a new tab)8–14 yrsHyderabadOn-siteDirect career pageEst. 28–45 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead architecture and technical design of AI-ready enterprise data platforms including ingestion, transformation, storage, and retrieval layers.
- Define and enforce standards and governance for scalable data pipelines, ETL/ELT frameworks, knowledge graphs, ontologies, and AI data services.
- Manage and coach technical teams, influence architecture decisions and support capability building across multiple domains.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
- 8–14 years of experience in data engineering, data architecture, platform engineering, or large-scale data systems.
- Deep expertise in scalable data pipelines, ETL/ELT frameworks, distributed processing (Spark, Databricks, Flink), and knowledge graph technologies such as RAG, GraphRAG, ontologies.
- Work Schedule: On-premise; Cloud certifications (AWS/Azure) are a plus but not mandatory.
Ideal Candidate Profile
- Experienced in designing and operating enterprise-scale data and AI platforms integrating data lakes, warehouses, lakehouses, and AI-serving layers.
- Strong leadership in technical team management, architectural design, and governance frameworks at scale.
- Skilled in modern data engineering practices including orchestration, CI/CD pipelines, observability, and cost-efficient, reliable data platform operations.