About this role
Preqin is a leading provider of private markets data and analytics and part of BlackRock. It delivers trusted data, benchmarks, and insights that support decisionâmaking across the full private markets investment lifecycle.
With comprehensive global coverage across private equity, private credit, real estate, infrastructure, venture capital, and hedge funds, Preqin brings greater transparency to private markets through rigorous data collection, deep market expertise, and continuously evolving methodologies. Its data and technology underpin how investors raise capital, evaluate opportunities, monitor portfolios, and assess performance at scale.
About Company Intelligence
Company Intelligence is Preqinâs private company data platform, providing structured, auditable companyâlevel data and analytics across the private markets investment lifecycle. It integrates company, deal, and ownership data with fund, manager, and performance information to deliver a connected view of private capital activity.
Built on granular data and robust methodologies, Company Intelligence supports scalable analysis across deal sourcing, due diligence, valuation benchmarking, and comparative research. By increasing transparency across the private company universe, it provides a connected view of company activity within the broader private capital ecosystem.
Role Overview
You will join BlackRockâs Private Markets Data Engineering organisation, working on Preqinâs Company Intelligence platform at the core of our private markets data strategy. In this role, you will design, build, and operate scalable, productionâgrade data platforms and pipelines that underpin the expansion of Preqinâs global private company universe, enabling broader coverage, deeper data, and more advanced analytics.
As a Vice President, you will operate as a playerâcoach: a senior individual contributor providing handsâon technical leadership while also managing and developing a small team of data engineers. You will own complex data engineering initiatives endâtoâend, partner closely with product, analytics, and business stakeholders, and set a high bar for engineering excellence, reliability, and operational maturity in an enterprise environment.
Key Responsibilities
- Provide senior technical leadership and architectural direction for data platforms and pipelines that enable the scalable expansion of Preqinâs private company universe, ensuring performance, cost efficiency, and longâterm maintainability.
- Own the endâtoâend delivery of complex, businessâcritical data engineering initiatives, from design through sustained production operation, with accountability for outcomes, reliability, and data trust.
- Drive a platformâcentric data engineering strategy, building reusable frameworks, shared datasets, and extensible pipelines that support multiple Company Intelligence products and advanced analytics use cases.
- Ensure high standards of data quality, governance, lineage, and observability, proactively managing operational and compliance risks across enterpriseâgrade data products.
- Partner effectively with product, analytics, and business leaders, developing a deep understanding of strategic objectives and translating them into data platforms that deliver measurable business value.
- Lead, coach, and develop data engineers, combining handsâon technical contribution with people management to foster a highâperforming, inclusive, and continuously improving engineering culture.
Required Experience
- Demonstrated experience (5+ years) operating enterpriseâscale, productionâgrade data platforms, with a strong track record of reliability, performance, and stakeholder trust in businessâcritical environments.
- Proven ability to exercise senior technical judgement, making architectural and prioritisation tradeâoffs across complex data ecosystems, including scalability, cost, governance, and longâterm sustainability considerations.
- Advanced expertise in SQL and analytical data modelling, with sustained experience building highâquality, wellâgoverned datasets used broadly across analytics, research, and decisionâmaking functions.
- Strong background in modern analytics engineering, including dbtâbased transformation layers, testing strategies, documentation, and embedded data quality practices in production environments.
- Proficiency in Python for building and operating data pipelines, orchestration, and automation, supported by solid software engineering fundamentals (version control, testing, CI/CD).
- Experience building and operating data pipelines using workflow orchestration frameworks (e.g. Apache Airflow), with a focus on reliability, observability, dependency management, and operational resilience.
- Experience designing and operating cloudânative data platforms (AWS or Azure preferred) and enterprise data warehouses (Snowflake preferred), including performance tuning, cost controls, and secure access patterns.
- Experience leading, mentoring, and developing data engineers while maintaining handsâon technical credibility.
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Desirable Experience
- Experience working with private markets or alternative investment data (e.g. private equity, private credit, real assets, venture capital), supporting investment, research, or portfolioâlevel analytics at scale.
- Exposure to advanced analytics or AIâenabled capabilities embedded within data platforms, such as automation, modelâdriven data products, or AIâassisted workflows.
- Familiarity with modern data platform infrastructure and enablement practices, including infrastructure as code (Terraform or equivalent), container orchestration (Kubernetes), and related cloudânative technologies.
Who You Are
- You operate with a strong sense of ownership and accountability, taking responsibility for complex, businessâcritical data platforms and driving initiatives through to sustained production impact.
- You apply rigorous, analytical thinking to ambiguous problems, using evidence, engineering judgement, and structured decisionâmaking to deliver scalable, wellâgoverned solutions.
- You set a high bar for engineering excellence, embedding best practices in security, code quality, documentation, testing, and operational resilience.
- You collaborate effectively across disciplines, building trusted partnerships with product, analytics, and business stakeholders.
- You lead through influence and example, fostering an inclusive, collaborative, and highâperforming engineering culture.
- You demonstrate a growth mindset and continuous improvement orientation, embracing change and challenging established ways of working to deliver better outcomes at scale.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRockâs 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 â 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 childrenâs 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 â the one we make in our employees. Itâs why weâre 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