Senior Manager, Data Engineering

Turn/River • San Francisco, CA

1d • Hybrid

About The Position

Turn/River Capital is a private equity firm that partners with software businesses to drive AI transformation and capital-efficient growth. Founded in 2012 and based in San Francisco, the firm has $5.6 billion in committed capital and invests globally, with a focus on North America and Europe.

The Senior Manager, Data Engineering will design, build, and scale the data infrastructure that powers analytics across Turn/River’s portfolio. The role leads the evolution of the data platform, connecting systems and ensuring they are reliable and ready for AI-driven insights. The near-term focus is strengthening marketing data pipelines, including Ads, GA, HubSpot, and Salesforce. The broader remit is to define standards, improve scalability, and enable data-driven execution across functions.

The role works closely with Marketing, RevOps, Analytics, and Systems leaders within Turn/River and across portfolio companies to create a unified, AI-ready data foundation. It also mentors junior data engineers and analysts and defines a 12–24-month platform roadmap.

Requirements

• At least 5 years of data or analytics engineering experience, including ownership of production-grade ELT/ETL systems.
• Deep expertise in SQL and Python.
• Hands-on experience with dbt and one or more of Fivetran, Airbyte, or Matillion.
• Advanced proficiency in BigQuery or Snowflake and modern cloud-based architecture; BigQuery is preferred.
• Ability to design scalable data models and enforce engineering best practices, including Git-based workflows and CI/CD automation.
• Experience integrating go-to-market systems such as Ads, HubSpot, Salesforce, and GA4 and building reliable revenue-linked pipelines.
• Demonstrated success leading complex data projects and mentoring technical contributors.
• Exceptional communication skills and ability to connect technical details with business context and cross-functional impact.
• Bachelor’s degree in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Business Analytics, or equivalent professional experience.
• Intellectual curiosity, a systems mindset, attention to detail, and an interest in building scalable, reusable, future-proof data infrastructure that drives portfolio growth.

Responsibilities

• Lead the design, maintenance, and scalability of the portfolio’s BigQuery data platform and ETL/ELT pipelines.
• Partner with Marketing, RevOps, and Analytics leaders to integrate Ads, GA, HubSpot, and Salesforce into reliable, revenue-linked funnel models.
• Build standardized schemas and dbt packages to support consistent analytics across portfolio companies.
• Implement CI/CD, data validation, and tagging standards to ensure data accuracy and trust.
• Design and implement LLM-powered workflows, including prompt engineering, RAG, and agent-based automation, for content generation, campaign optimization, and performance analysis.
• Mentor junior data engineers and analysts, promote engineering best practices, and lead knowledge-sharing across the portfolio.
• Define and execute a 12–24-month roadmap to evolve the platform toward near-real-time data flows, identity resolution, and modular reuse.
• Collaborate with Analytics and Systems teams to turn fragmented data into actionable insights and scalable automation.

Benefits

• Competitive salary and discretionary bonus.
• Medical, dental, and vision insurance covered 100% for the employee and dependents.
• Flexible vacation policy.
• 401(k) matching.
• Paid parental leave.
• Commuter benefits.
• Health and wellness benefits.
• Household services benefits.
• Home office benefits.
• Annual home office equipment reimbursement.
• Donation matching.
• Work from home on Mondays and Fridays.
• Snacks and weekly team lunches three times per week.
• Holiday parties, an annual company offsite and retreat, and an annual summer work-from-anywhere month.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior