Senior Manager, Data Engineering

Senior Manager, Data Engineering

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About Turn / River

Turn / River Capital is a private equity firm that applies a proprietary growth engineering strategy to investing, partnering with software businesses to accelerate growth and build enduring value. The firm's team of equal parts investors and operators provides hands-on operational support and the flexible capital to systematically scale marketing, sales and customer success at its portfolio companies. Founded in 2012 and based in San Francisco, Turn / River has $5.6bn in committed capital and invests globally with a focus on North America and Europe.

About the Role

We're looking for a Senior Manager, Data Engineering to design, build, and scale the data infrastructure that powers analytics across Turn / River's portfolio.

You'll lead the evolution of our data platform, ensuring our systems are connected, reliable, and ready for AI-driven insight generation. Your near-term focus will be strengthening marketing data pipelines (Ads, GA, HubSpot, Salesforce), while your long-term remit spans the entire data org : defining standards, improving scalability, and enabling data-driven execution across all functions.

Key Responsibilities

• Data Platform Ownership : Lead the design, maintenance, and scalability of the portfolio's BigQuery data platform and ETL / ELT pipelines.
• Marketing Data Integration : Partner with Marketing, RevOps, and Analytics Leads to unify GTM systems (Ads, GA, HubSpot, Salesforce) into reliable revenue-linked funnel models.
• Data Architecture & Modeling : Build standardized schemas and dbt packages to support analytics consistency across dozens of companies.
• Quality & Governance : Implement CI / CD, data validation, and tagging standards that ensure accuracy and trust.
• AI Workflows : Design and implement LLM-powered workflows (prompt engineering, RAG, agent-based automation) to streamline content generation, campaign optimization, and performance analysis.
• Team Leadership : Mentor junior data engineers and analysts, foster engineering best practices, and lead knowledge-sharing across the portfolio.
• Platform Roadmap : Define and execute a 12–24-month roadmap evolving the platform toward near-real-time flows, identity resolution, and modular reuse.
• Cross-Functional Collaboration : Partner with Analytics and Systems teams to turn fragmented data into actionable insight and scalable automation.

Qualifications

Location and Compensation

San Francisco, hybrid work model.

Base salary for this role is $230,000 (plus annual bonus) taking into account numerous variable factors that are considered in making compensation decisions including but not limited to skill sets, experience, training, licensure, certifications, and organizational requirements.

Benefits and Perks

Equal Employment Opportunity

Turn / River provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, religious creed (including religious dress and grooming practices), national origin, ancestry, citizenship, physical or mental disability, medical condition (including cancer and genetic characteristics), genetic information, marital status, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, natural hair styles, age (40 years and over), sexual orientation, veteran and / or military status, protected medical leaves (requesting or approved for leave under any applicable state, or federal leave act), domestic violence victim status, political affiliation, and any other characteristic or status protected by state or federal law.

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