Vice President, Software Engineer (Private Markets Data)

Key responsibilities:

Architect, build, and own scalable software solutions end-to-end, translating businessobjectivesinto 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 thewiderteam, 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 developsoftwareengineers, combining hands-on technical contribution with people management to foster a high performing, inclusive, and continuously improving engineering culture.

What we are looking for:

Demonstrated ability to design, build, andoperatescalable production-grade software systems for data processing, includingexpertisein Python, SQL, and modern data platforms.

Hands-on experience with modern software engineering practicesand 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 engineering, product, data science, and business teams.

A proactive, curious, and resilient mindset, with a demonstrated ability to navigate ambiguity, explorenew technologies, and continuously improve systems and ways of working.

Experience leading, mentoring, and developingsoftwareengineers whilemaintaininghands-on technical credibility.

Desirable skills include:

Experience working with financial market data, investment analytics, or private markets datasets.

Experience designing and building software and/or data platforms in financial services environmentsor other regulated environments.

Experience productionising statistical or quantitative models.

Experience supporting AI/ML lifecycle management, including model versioning, experiment tracking, evaluation,servingand deployment pipelines.

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

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, race, religion, sex, sexual orientation and other protected characteristics at law.