Provide hands-on technical leadership across the Private Markets Data Engineering team, setting architectural direction, overseeing delivery, and maintaining technical coherence across AI-enabled data platform initiatives.
Design and evolve semantic data models, ontologies, governed data products, and knowledge graph capabilities that enable consistent access, entity resolution, relationship intelligence, and multi-hop reasoning.
Build intent-driven data access capabilities that enable assistants, agents, and applications to route requests across structured data, semantic models, graph databases, vector stores, and unstructured content.
Design scalable, reliable data pipelines and analytics platforms, taking accountability for end-to-end technical design, data governance, security, automation, and long-term sustainability.
Partner with product, engineering, and business stakeholders to translate strategic objectives into actionable data initiatives and prioritize solutions based on business impact and alignment with the broader vision.
Communicate complex technical concepts and architectural recommendations clearly to management while fostering collaboration between technical and business teams.
Your experience
10+ years of experience in senior technical roles, combining hands-on expertise in Snowflake, Structured Query Language (SQL), and Python with a record of leading complex initiatives and providing technical direction to engineers.
Experience designing semantic data models, business ontologies, governed data products, and metadata-driven architectures, supported by knowledge of data catalogs, lineage, governance, and business glossaries.
Hands-on experience with graph database technologies and modeling patterns, along with vector databases, document retrieval systems, and Retrieval-Augmented Generation (RAG) architectures.
Experience integrating large language models (LLMs), agents, copilots, or agentic workflows with enterprise data platforms, supported by knowledge of data architecture, cloud platforms such as Azure or Amazon Web Services (AWS), and data workflow tooling, including directed acyclic graph-based workflow orchestration frameworks for data and batch processing.
Ability to influence stakeholders at multiple levels, communicate effectively, and translate business requirements into scalable technical solutions.
Ability to balance long-term technical direction with immediate delivery needs in a dynamic environment; experience collaborating across global or multilingual teams is beneficial.
Experience with enterprise-grade container orchestration platforms supporting declarative infrastructure and horizontal scaling and advanced observability practices, together with knowledge of financial services or private capital markets, is beneficial.
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 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.
