Vice President - Data Engineering, Aladdin Data

About this role The BlackRock Data Office (BDO) is responsible for building and advancing the firm's enterprise data capabilities by delivering trusted, scalable, and governed data products that power investment, business, operational, and technology outcomes across BlackRock. As a Data Engineer, you will play a key role in designing, building, and optimizing modern data platforms and pipelines that enable high-quality, reliable, and accessible data across the organization. You will partner closely with product managers, data stewards, platform engineers, software engineers, data scientists, and business stakeholders to develop reusable data capabilities that support analytics, reporting, machine learning, artificial intelligence, and digital products. Depending on experience and level, you will either contribute to or lead the design and implementation of complex data engineering solutions, influence technical direction, and help establish engineering best practices across the organization. The ideal candidate is passionate about solving complex data challenges, enjoys building scalable distributed systems, and is highly motivated to create, optimize, or redesign data pipelines to support our next generation of products and data initiatives. Given the highly execution-focused nature of the work, the ideal candidate will roll up their sleeves to ensure that their projects meet deadlines and will always look for ways to optimize processes in future cycles. Core Skills: Demonstrated ability to join a complex global team, collaborate cross functionally (data stewards, data scientists, platform engineers, business stakeholders), and take ownership of major components of the data platform ecosystem and develop data ready tools to support their job. Top technical / programming skills – Python, Java and Scala with ability to work across big data frameworks such as Spark, PySpark, Hive, Cloud Data Platforms Preferably Snowflake and SQL. Experience working with flat files (e.g., csv, tsv, Excel), Database API sources is a must to both ingest and create transformations.

Design, develop, and maintain scalable, reliable, and high-performance data pipelines supporting enterprise data products. Build and optimize batch and real-time data ingestion, transformation, and publishing processes across diverse data sources. Develop reusable data engineering frameworks, components, and automation to improve platform efficiency and developer productivity. Ensure data products meet enterprise standards for quality, security, governance, lineage, and observability. Keep data separated and segregated according to relevant data policies. Identify opportunities to improve performance, scalability, resiliency, and cost optimization across the data platform. Troubleshoot complex production issues, perform root cause analysis, and implement sustainable long-term solutions. Contribute to engineering standards, code reviews, testing practices, CI/CD automation, and technical documentation. Automate manual ingest processes and optimize data delivery subject to service level agreements; work with infrastructure on re-design for greater scalability. Stay current on emerging technologies and recommend innovative approaches that improve the firm's data ecosystem. Associate: Deliver high-quality engineering solutions while continuing to deepen technical expertise across modern data technologies. Vice President: Provide technical leadership for complex initiatives, mentor junior engineers, influence architecture decisions, and drive engineering best practices across multiple teams.

7+ years of experience designing, building, and delivering enterprise-scale data engineering solutions, including demonstrated technical leadership responsibilities. 4+ years of strong Java, Python or Scala programming skills (Core Python and PySpark) including hands-on experience creating and supporting UDFs and modules like pytest.