Vice President - Principal Data Engineer About this role Role Overview Data and AI are central to our platform and competitive advantage. We are seeking a Senior / Principal Data Engineer (12 years) to design, build, and operate largescale, enterprise data platforms, with deep AI/ML and GenAI expertisenot only enabling AI use cases, but using AI as a firstclass tool to design, build, and optimize data pipelines. This role is a handson senior engineering position with architectural ownership, operating at the intersection of data engineering, AI/ML systems, and platform modernization.nnnKey Responsibilities Architect, build, deploy, and operate scalable ETL/ELT data pipelines supporting analytics, ML, and GenAI workloads.nnnUse AI/ML and GenAI to design and build data pipelines, including: AIassisted pipeline and schema design; AIgenerated and optimized transformation logic and code; automated test generation, data validation, and performance tuning; AIdriven documentation and operational runbooks.Apply AI/ML techniques to automate data engineering workflows, including ingestion, schema evolution, data quality checks, anomaly detection, and pipeline optimization.Build and maintain feature engineering pipelines, training datasets, and feedback loops for production ML and GenAI systems.Enable GenAI use cases, including unstructured data ingestion, retrieval pipelines (RAG), and governanceaware AI data flows.Ensure enterprise standards for reliability, observability, lineage, security, and compliance across all data and AI pipelines.Partner with product, program, analytics, and AI teams in Agile delivery models to translate business needs into scalable AIenabled data solutions.Provide senior technical leadership through architecture reviews,



mentoring, and setting data u0026 AI engineering standards.nRequired Qualifications 12 years of experience owning and operating largescale data engineering platforms in production.nnnStrong handson expertise in Python and SQL, with deep experience on cloud data platforms (AWS, Azure, or GCP).Proven experience architecting distributed, highperformance data systems.Demonstrated experience using AI/ML or GenAI to design, build, or optimize data pipelines (not just consuming AI outputs).Strong experience supporting ML/AI systems in production, including feature pipelines, data validation, monitoring, and retraining support.Solid understanding of data modeling, performance tuning, DevOps/CICD, and Agile delivery.Excellent communication skills and ability to operate in fastpaced, crossfunctional environments. Preferred / Plus Skills Experience with GenAI/LLM ecosystems (e.g., RAG, vector data, prompt or model lifecycle support).Experience with microservices, APIs, and largescale analytics platforms.Prior experience leading or mentoring senior engineers (playercoach model).Experience working in financial services or regulated environments.nWhy This RolenThis role goes beyond traditional data engineering. You will use AI to fundamentally change how data pipelines are designed, built, and operated,



while delivering missioncritical data and AI platforms at enterprise scale. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.nnnOur hybrid work model BlackRocks hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities.nnnWe remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid mode to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work enhancing decision-making, improving operations, and helping us deliver better outcomes for clients.nnnWe encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, weve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. .

📌 Principal Data Engineer - Vice President Level (Gurugram)
🏢 BlackRock Services India
📍 Gurugram