About this role

At BlackRock, technology has always been at the core of what we do – and today, our technologists continue to shape the future of the industry with their innovative work. We are not only curious but also collaborative and eager to embrace experimentation as a means to solve complex challenges. Here you’ll find an environment that promotes working across teams, businesses, regions and specialties – and a firm committed to supporting your growth as a technologist through curated learning opportunities, tech-specific career paths, and access to experts and leaders around the world.

This role sits within Preqin, a part of BlackRock. Preqin plays a key role in how we are revolutionizing private markets data and technology for clients globally, complementing our existing Aladdin technology platform to deliver investment solutions for the whole portfolio.

As VP, Engineer on the Orion data team, you will guide a high-performing engineering pod responsible for the technical and operational excellence of our data architecture. Your work ensures our data flows are robust, scalable, and aligned with business needs, forming the backbone of Orion’s data-driven products and insights. Your focus will be on delivering high-quality solutions for our stakeholders by leveraging strong data literacy, product awareness and clear communication. You will collaborate closely with product managers and data owner to ideate, design, and deliver new features, while actively shaping the direction of our technical strategy and data platform.

Key responsibilities will include:

• Develop workflows that seamlessly combine AI/ML with human expertise to accelerate data collection and improve decision-making processes.

• Prioritize work based on data-driven insights and outcome-based goals in collaboration with stakeholders.

• Design and implementation of scalable, reliable data pipelines that ingest, process, and deliver high quality data to downstream applications and analytics platforms.

• Work closely with engineering teams across the business, ensuring the best technical solutions are adopted, and elevate development standards through knowledge sharing and best practices.

• Collaborate across engineering, product, and data scientist teams to translate business requirements into technical solutions and ensuring our data assets are organized and accessible.

• Mentor and guide team members, fostering a culture of continuous improvement, innovation, and open communication.

• Actively participate in technical discussions about new product directions, data modelling, and architectural decisions, ensuring our technology platform remains extensible.

• Lead an engineering pod using strong leadership and influence skills.

• Manage of a team of junior and mid-level engineers, supporting their careers and growth.

What we are looking for:

• 7+ years’ experience in software engineering.

• Strong technical ability across the full stack: Python, FastAPI, React and Typescript is a plus.

• Experience with databases like Postgres and Snowflake.

• Experience of working within cloud provider services – Azure or AWS (preferred) and utilization of infrastructure as code.

• A data-driven mindset to make development decisions based on robust analyses.

• Ability to collaborate effectively with designers, engineering and data scientist teams to build our technical solutions.

• You have driven technical solution design, taking the balance of engineering quality, testing, scalability and security into consideration.

• A “let’s do it” and “challenge accepted” attitude when faced with less known or challenging tasks, with a willingness to learn new technologies and ways of working.

• Excellent verbal and written communication and interpersonal skills, with the ability to influence at all organizational levels and bridge technical perspectives.

• Proficiency in English required; additional languages and prior work experience at a global firm are desirable.

• People management experience.

• Experience with AI-related projects/products.

• Knowledge of Terraform, CI/CD pipelines, and Kubernetes

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.

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.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

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.