Vice President - Enterprise Data Platform

About this role About this role As a Vice President in Enterprise Data Platform, you will be part of a team responsible for building and modernizing the core framework of BlackRock's next-generation enterprise data platform. This platform is designed to automate and standardize data acquisition, ingestion, transformation, orchestration, and distribution at enterprise scale. This is a hands-on engineering role for a strong data engineer with solid software engineering fundamentals. The role sits at the intersection of data platform engineering and backend platform development. You will help evolve the platform from a framework-centered model toward a more modular, API-driven architecture in which core platform capabilities can be accessed and operated through reusable services. A key focus of this role is designing and building internal platform services and APIs that expose core capabilities such as metadata, logging, orchestration, workflow generation, onboarding, and operational control. These services will support more flexible and standardized interaction patterns across the platform, including internal tools, automation, scripts, UIs, and AI-enabled workflows. You will partner closely with engineering, product, and platform teams to deliver scalable, reliable, and maintainable solutions that advance the firm's enterprise data capabilities. This role is expected to lead the design of complex and sensitive components, contribute meaningfully to technical direction, and remain deeply hands-on in development. The ideal candidate brings strong experience in data engineering and workflow-driven systems, along with practical experience building backend services and APIs in modern cloud-native environments. Responsibilities Design, develop, and maintain scalable platform services and APIs that power metadata, logging, orchestration, workflow generation, onboarding, and other core enterprise data platform capabilities. Help evolve the platform toward a more modular, service-oriented architecture by defining and implementing reusable backend components and well-structured service interfaces. Design, develop, and enhance core enterprise data platform components, including acquisition frameworks, workflow orchestration capabilities, and shared services used across data pipelines. Contribute across the full software development lifecycle, including requirements analysis, architecture and design, development, testing, deployment, and ongoing enhancement. Design and implement backend services using Python-based frameworks such as FastAPI or Flask, and build contract-first APIs using gRPC and Protocol Buffers as part of the platform's target direction. Partner with data engineers, platform engineers, product teams, and other stakeholders to translate business and operational requirements into robust platform solutions. Continuously improve performance, scalability, resilience, and observability across platform components and data workflows. Explore new tools and technologies that enhance platform capabilities, engineering efficiency, and developer experience. Help define engineering standards, API conventions, design patterns, and best practices that improve consistency and long-term maintainability. Provide technical leadership through design ownership, mentorship, code quality, and collaboration across teams, while remaining an individual contributor with no direct people-management responsibility. Contribute to the integration of AI-enabled capabilities and external AI services into platform workflows where they can improve automation, quality, or developer productivity. Required Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related field. 5 years of experience in data engineering, data platform engineering, or closely related backend engineering roles. Strong hands-on programming experience in Python. Strong SQL skills and experience working with relational and analytical data ... (truncated, view full listing at source)