Senior Associate, PE Data Products
About The Position
Bain Capital is seeking a senior, hands-on Senior Associate to own Private Equity data products in Snowflake, from platform foundations through business-critical data processes. The role is a technical expert position on a small product team and reports to the Director of Data Products. The ideal candidate has deep Snowflake expertise and strong platform instincts, thinks in systems and abstractions, and uses AI coding agents to build from clear specifications and validate the results. The role treats infrastructure, permissions, and governance as code. It partners directly with leaders in Private Equity Finance, Investment Operations, and Data Governance to establish foundations—including data certification, lineage, data quality, and platform automation—that can become patterns for other data domains across the firm. The Senior Associate will work closely with Data Engineering, Information Security, and Cloud Operations, while shaping the capability roadmap with the product manager. Bain Capital describes the team as small and AI-native, partnering directly with Private Equity leadership in a collaborative environment that values innovation and excellence. The expected annual base salary is $115,000–$150,000. The role may also be eligible for a discretionary annual bonus based on factors such as individual impact and team and firm performance. Bain Capital offers a competitive benefits package designed to support employees’ health, financial security, family needs, and overall well-being.
Requirements
- BS or MS in Computer Science, Engineering, or a related technical field.
- At least 7 years of professional data platform, data engineering, or software engineering experience.
- Deep Snowflake experience, including role-based access control, cost management, data sharing, and multi-account architecture.
- Experience using AI coding agents as a primary way of working, including MCP and reusable skills.
- Strong SQL and data modeling skills, including dimensional modeling and separation between source-conformed and business-conformed layers.
- Production-grade Python experience.
- Experience with Terraform, including the Snowflake provider, GitHub Actions, and CI/CD for data.
- Experience with Airflow orchestration.
- Working knowledge of dbt.
- Knowledge of data governance practices, including data ownership, certification, lineage, and data quality.
- Experience with AWS services such as S3, serverless products, and ECR, and monitoring tools such as Datadog or CloudWatch.
- Strong foundation in software design and architectural patterns.
- Ability to explain technical choices clearly to finance and operations stakeholders.
- Ability to turn business requirements into clear specifications and scalable designs.
- Ownership mindset spanning concept, production, and ongoing operation.
- Experience mentoring others and raising a team’s technical standards.
Nice To Haves
- SnowPro Core or Advanced certification.
- Experience with governance-as-code, policy-as-code, or data contracts.
- Experience with data catalog or data observability tools.
- Experience with private markets or fund accounting data, such as Investran.
Responsibilities
- 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 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, particularly during quarterly close; establish monitoring and alerting, and follow incidents through to lasting fixes.
- 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.
Benefits
- Competitive benefits package designed to support employees’ health, financial security, family needs, and overall well-being.
- May be eligible for a discretionary annual bonus based on individual impact and team and firm performance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
