About this role
What team will you be on?
The BlackRock Data Office (BDO) advances the firm's enterprise data strategy by building trusted, scalable, and governed data products that power investment, business, operational, and technology outcomes across BlackRock. As a member of the Data Office organization, you will partner closely with product managers, data stewards, platform engineers, software engineers, data scientists, and senior business stakeholders to deliver enterprise data capabilities that enable analytics, reporting, artificial intelligence, machine learning, and digital products. The team is at the forefront of shaping BlackRock's next generation data ecosystem and driving data as a strategic asset across the firm.
Why is your role important?
As a Vice President, Data Engineering, you will provide technical leadership for enterprise-scale data platforms, influence architectural direction, and drive the delivery of high-impact data solutions that support critical business and investment outcomes. You will lead complex engineering initiatives, establish best practices across teams, and serve as a trusted partner to stakeholders across technology and the business. This role offers the opportunity to shape long-term data strategy, mentor engineering talent, and accelerate the firm's adoption of modern data and AI-enabled capabilities.
What will you be doing?
In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities.
- Lead the architecture, design, and delivery of scalable, resilient, and high-performance data products and pipelines supporting enterprise-wide business, analytics, and investment capabilities.
- Drive technical strategy for batch and real-time data ingestion, transformation, and distribution platforms, ensuring alignment with enterprise architecture, governance, security, and data-quality standards.
- Establish and advance engineering best practices, reusable frameworks, automation capabilities, CI/CD processes, observability standards, and operational excellence across the data engineering organization.
- Partner with senior stakeholders, product leaders, and engineering teams to prioritize strategic initiatives, influence roadmaps, and deliver business outcomes through trusted and accessible data products.
- Champion platform scalability, reliability, resiliency, and cost optimization through architectural improvements, performance tuning, and proactive operational management.
- Lead complex incident resolution, root-cause analysis, and continuous-improvement efforts while fostering a culture of accountability, innovation, and engineering excellence.
- Mentor and develop engineering talent, provide technical leadership across teams, and help define the future direction of BlackRock's enterprise data ecosystem and AI-ready platform capabilities.
What are we looking for?
- Demonstrated ability to lead complex data-engineering initiatives, influence technical strategy, and collaborate across global, cross-functional teams consisting of engineering, product, governance, and business stakeholders.
- Deep expertise in Python, Java, Scala, SQL, Snowflake, cloud-based data platforms, and large-scale distributed data analytics environments, with a proven track record of delivering enterprise-grade solutions.
- Strong experience designing and operating high-volume batch and real-time data pipelines, workflow orchestration solutions, data-transformation frameworks, and distributed event streaming architectures.
- Expertise in cloud and hybrid technology environments, including AWS, Microsoft Azure, containerized platforms, infrastructure automation, data governance, metadata management, lineage, and enterprise security controls.
- Strong understanding of application programming interfaces, data modeling, data-quality frameworks, observability, performance optimization, and modern software-engineering practices supporting scalable platforms.
- Experience leading technical teams, mentoring engineers, driving architectural decisions, and influencing organizational standards in a fast-paced, highly collaborative environment.
- Exposure to machine learning, artificial intelligence, generative AI, and enterprise data patterns that enable AI-ready products and platforms.

For NY7 - 50 Hudson Yards, New York Only the salary range for this position is USD$0.00 - USD$0.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

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.
Our hybrid work model
BlackRock’s 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. We 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 model 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. We 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, we’ve 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.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email [email protected]. All requests are treated in line with our privacy policy.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.