About this role
This position sits within BlackRock’s Private Markets Data Engineering (PMDE) team, at the heart of our mission to revolutionize private markets data and technology.
As Vice President, you will play a pivotal role in building and scaling our data infrastructure and analytics capabilities as a senior individual contributor and hands-on technical leader. You will work closely with business stakeholders to translate strategic objectives and user needs into actionable data initiatives and technical solutions, operating with direct line management while retaining accountability for technical outcomes.
In addition to modern data engineering practices, this role will help shape the next generation of AI-enabled data platforms, including semantic data models, knowledge graph capabilities, metadata-driven architectures, and intent-based data access layers that power AI agents, copilots, and intelligent applications.
Provide hands-on technical leadership across the PMDE team, acting as a technical authority for data architecture and engineering decisions. Lead the design and implementation of AI-ready data platform capabilities including semantic data layers, knowledge graph platforms, vector stores, and metadata-driven architectures.
Define and evolve business semantic models, measures, dimensions, ontologies, and governed data products that provide consistent data access across analytics, applications, APIs, and AI workloads.
Build intent-driven data access patterns that enable AI assistants, agents, and applications to dynamically route requests across structured data, semantic models, graph databases, and unstructured content repositories.
Design and develop scalable, reliable data pipelines and analytics platforms, with accountability for end-to-end technical design, data, and long-term sustainability, with a strong focus on Snowflake, SQL, and Python.
Champion best practices in data management, governance, and security, leveraging automation, cloud technologies, and modern engineering principles.
Proven experience in senior technical roles, with deep hands-on expertise in Snowflake, SQL, and Python.
Experience designing and implementing semantic data models, business ontologies, data products, and metadata-driven architectures.
Strong understanding of enterprise metadata management, data catalogs, lineage, governance, and business glossary concepts.
Experience integrating Large Language Models (LLMs), AI agents, copilots, or agentic workflows with enterprise data platforms.
Deep understanding of data architecture, pipeline design, pipeline tooling (e.g, Airflow, DBT, Snowflake), and cloud platforms (Azure or AWS preferred).
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 (opens in new window) 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 (opens in new window). We also encourage you to get to know us on LinkedIn (opens in new window), Instagram (opens in new window), YouTube (opens in new window), X (opens in new window), and TikTok (opens in new window).
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
