Vice President, Software Engineer (Private Markets Data)

About this role Your team   This role sits within   Preqin , part of BlackRock, and is aligned to the Derived Data team.   Preqin   is a leading provider of private markets data and analytics, delivering trusted data, benchmarks, and insights that support decision-making across the private   markets   investment lifecycle. The team develops high-quality data products and scalable technology solutions that increase transparency and enable data-driven decision-making across private markets. Your work will contribute directly to BlackRock’s strategy of delivering integrated public and private market solutions.     Your role and impact   We are looking for a data-savvy software engineer to help build scalable, production-grade systems that support the research, experimentation, and development of innovative private markets data products.   As a Vice President, you will   operate   in a player-coach model, combining hands-on technical leadership with people management responsibilities.   You will partner closely with product, analytics, and business stakeholders to translate strategic priorities into robust technical solutions and delivery plans while setting a high bar for engineering excellence, reliability, and operational maturity. Your work will enhance transparency, operational efficiency, and data-driven decision-making for institutional investors and private markets clients, helping position BlackRock as a leading technology and data provider in private markets.

Architect, build, and own scalable software solutions end-to-end, translating business   objectives   into technical designs through implementation, deployment, and production support.    Design and implement reproducible, testable data workflows that enable advanced analytics and Artificial Intelligence and Machine Learning (AI/ML) use cases, incorporating validation, monitoring, observability, experimentation, versioning, and production deployment capabilities.    Lead architectural decisions and influence technical prioritisation, partnering closely with product and delivery teams to align engineering effort with business impact.    Act as a technical authority within the   wider   team, elevating engineering standards and driving best practices in data management, governance, and cloud-native development.   Engage senior stakeholders, clearly communicating complex technical trade-offs and recommendations in business-relevant terms.    Collaborate cross-functionally with engineers, data scientists, analysts, and product leaders to deliver high-impact solutions for institutional investors and private markets clients.   Lead, coach, and develop   software   engineers, combining hands-on technical contribution with people management to foster a high performing, inclusive, and continuously improving engineering culture.

Demonstrated ability to design, build, and   operate   scalable production-grade software systems for data processing, including   expertise   in Python, SQL, and modern data platforms.   Hands-on experience with modern software engineering practices   and tooling ,   including version control, CI/CD, automated testing frameworks,   containerisation ,   and AI-augmented software development workflows.   Experience working in cloud environments such as Amazon Web Services (AWS) or Microsoft Azure, including infrastructure provisioning and automation using Infrastructure as Code.   Strong understanding of data validation, testing strategies, code quality practices, and the ability to independently drive technical solutions from design through delivery.   Experience supporting advanced analytics and AI/ML use cases, complemented by a rigorous, data-driven approach to experimentation,   evaluation , and technical decision-making.    Excellent collaboration, communication, and stakeholder management skills, with the ability to influence across