SENIOR ASSOCIATE, PRIVATE EQUITY DATA PRODUCTS
BAIN CAPITAL OVERVIEW
With approximately $225 billion of assets under management, Bain Capital is one of the world’s leading private investment firms. We create lasting impact for our investors, teams, businesses, and the communities in which we live. Over four decades we have strategically grown our platform to focus on Private Equity, Growth & Venture, Capital Solutions, Credit, and Real Assets. Today, our team includes 1,985+ employees in 24 offices on four continents.
We partner differently to help people and companies embrace possibility and realize potential. Founded as a private partnership in 1984, we have fostered a culture of innovation, entrepreneurialism, and agility, empowering our people to define and own their career trajectories. Today, our partnership approach enables us to pursue strategic growth, build enduring relationships with a robust external network, and collaborate across our integrated platform to connect the deep and diverse expertise that unlocks breakthrough insights.
Our people are the heart of our advantage. Colleagues at all levels have a seat at the table as they tackle business challenges with a principal investor mindset. By asking incisive questions, respectfully challenging one another, and remaining intellectually agile, we work together to achieve exceptional outcomes.
For more information visit: Bain Capital
ABOUT THE ROLE
We are seeking a senior, hands-on Senior Associate to join our Data Products team. You will own the Private Equity data products in Snowflake, from the platform foundations to business-critical data processes. You will be a technical expert on a small product team, and you will report to the Director of Data Products.
The ideal candidate is an experienced technologist with strong platform instincts. You know Snowflake deeply. You think in systems and abstractions, not one-off pipelines. You work AI-first: you write clear specifications, use AI coding agents to build, and validate that the result meets the specification. You treat infrastructure, permissions, and governance as code.
You will partner directly with leaders in Private Equity Finance, Investment Operations, and Data Governance. The foundations you build, including data certification, lineage, data quality, and platform automation, will become the pattern for other data domains across the firm.
RESPONSIBILITIES INCLUDE
Own ingestion and data modeling for Private Equity source systems, including fund accounting, valuation, portfolio monitoring, and HR and time data.
Deliver changes from specification to production quickly, using AI coding agents, and review and validate their output.
Build data certification, owner sign-off, definitions, lineage, and data quality checks into the codebase, in partnership with the VP of Data Governance.
Own pipeline reliability, especially during quarterly close. Set up monitoring and alerting, and follow every incident through to a lasting fix.
Configure Snowflake for the domain, including role-based access design, warehouse and cost management, data sharing, and multi-account setup.
Manage infrastructure, permissions, and governance metadata as code, using Terraform, GitHub Actions, CI/CD, and controlled promotion between environments.
Translate complex business processes into clear data models and system designs, and shape the capability roadmap with the product manager.
Set technical standards, review designs and code, and mentor contractor and offshore engineers. Work closely with Data Engineering, Information Security, and Cloud Operations.
TECHNOLOGY EXPERIENCE
Deep Snowflake experience: role-based access control, cost management, data sharing, and multi-account architecture. SnowPro Core or Advanced certification is a plus.
AI coding agents (e.g., Claude Code, OpenAI Codex, Cursor) as your primary way of working, including MCP and reusable skills.
Strong SQL and data modeling, including dimensional modeling and a clear…