Application Engineer, Vice President

About the role

The Application Engineer, Vice President role sits within the Private Markets Data Engineering (PMDE) team at Preqin, part of BlackRock, in Bengaluru, India. As a senior individual contributor and hands-on technical leader, you will design and build scalable data software infrastructure and analytics platforms that enable high-quality data products, advanced analytics, and client-facing solutions for private markets. You will own technical design and outcomes across complex initiatives, working closely with business stakeholders and product partners to translate strategic priorities into robust architectures and delivery plans.

What you’ll do

• Architect and build scalable, reliable data pipelines and platforms software solutions for data products, ensuring performance, quality, and long-term sustainability.
• Own data solutions end-to-end — from translating business objectives into technical designs through implementation, deployment, and production support.
• Design and implement data workflows that are reproducible, testable, and scientifically rigorous, embedding validation frameworks, monitoring, lineage, and observability into every stage.
• Enable advanced analytics and AI/ML use cases by building software solutions infrastructure that supports experimentation, versioning, and production-grade pipeline and model deployment.
• 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 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.

What you’ll bring

• Proven experience building and operating scalable software systems for data processing workflows and platforms, with deep expertise in Python and SQL across databases such as Snowflake and Postgres.
• Hands-on experience with modern software engineering practices, including version control (Git), CI/CD pipelines, automated testing frameworks, and containerisation and orchestration (Docker, Kubernet
• Experience working in cloud environments (AWS or Azure), including infrastructure provisioning and automation using Infrastructure as Code (e.g., Terraform).
• Demonstrated ability to design production-grade systems that balance performance, scalability, reliability, security, and maintainability.
• Experience enabling or supporting advanced analytics and AI/ML use cases in production environments.
• Strong understanding of data validation, testing strategies, and code quality practices, with confidence applying diverse code and data testing techniques across data and application layers.
• Ability to operate autonomously and drive technical solution design end-to-end, taking ownership of outcomes.
• Excellent written and verbal communication skills, with the ability to influence stakeholders at all levels and translate complex technical concepts into clear, business-relevant language.

Nice to have

• Experience with AI-related technologies and products; familiarity with using AI coding assistants.
• Experience working with financial market data, investment analytics, or private markets datasets.
• Experience designing and building data platforms and/or data platforms in regulated or financial services environments.
• Experience supporting ML lifecycle management (model versioning, experiment tracking, model deployment pipelines); familiarity with tools such as MLflow, feature stores, or model serving frameworks.
• Experience productionising statistical or quantitative models.

Skills

Benefits

• Strong retirement plan
• Tuition reimbursement
• Comprehensive healthcare
• Support for working parents
• Flexible Time Off (FTO)