VP - Senior Data Engineer

About this role About the 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. Key Responsibilities Provide hands-on technical leadership across the PMDE team, acting as a technical authority for data architecture and engineering decisions, and fostering a culture of excellence, collaboration, and continuous improvement. Architect and oversee the development of 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. Influence technical prioritization and solution design based on business impact and strategic alignment, partnering with product and delivery leads on sequencing and trade-offs. Engage and communicate complex technical concepts to senior including making clear architectural recommendations Collaborate with business stakeholders to translate strategic objectives into actionable data initiatives, ensuring alignment with Preqin’s and BlackRock’s broader vision. Champion best practices in data management, governance, and security, leveraging automation, cloud technologies, and modern engineering principles. Define engineering standards for ingestion patterns, staging models, schema evolution, data quality and data lineage. Manage a team of Data Engineers Drive the adoption of advanced analytics and AI/ML solutions, integrating technical innovation with business value. Oversee technical delivery and architectural coherence across initiatives, prioritizing work based on data-driven insights and business outcomes. Promote a collaborative environment, bridging the gap between technical and business teams. Qualifications: Proven experience in senior technical roles, with deep hands-on expertise in Snowflake, SQL, and Python. Demonstrated leadership experience in senior technical roles, including leading complex initiatives and providing technical direction to other engineers, with or without direct line management. Strong track record of working with data engineers and BI analysts. Deep understanding of data architecture, pipeline design ( preferably dbt ) , pipeline tooling (e.g ., Dagster , Airflow ), and cloud platforms (Azure or AWS preferred). Demonstrated ability to engage and influence stakeholders at all levels, with exceptional communication and interpersonal skills. Experience translating business requirements into scalable technical solutions. Comfortable operating in a fast-paced, dynamic environment, balancing long-term technical direction with immediate delivery needs. Prior experience with AI/ML projects, infrastructure as code (e.g., Terraform), and CI/CD pipelines. Experience managing a technical team Nice to Have Experience working with global teams and multi-language environments. Exposure to Kubernetes and advanced observability practices. Working knowledge of the financial services sector and private capital markets such as private equity, real estate, and infrastructure. 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 . 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.