Senior Manager, Data Engineering

Turn/River Capital

. Design, build, and scale the data infrastructure powering analytics across Turn/River’s portfolio .

Posted 11/7/2026full-timeSan Francisco • California • United StatesSenior💰 $227,500 - $237,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and scaling data infrastructure, with a strong focus on building reliable ETL/ELT systems and integrating marketing data pipelines. Proficient in SQL, Python, and cloud-based architectures, with a proven ability to lead complex data projects and mentor technical teams.

Highest-signal resume keywords

Data Engineering ExperienceSQL ProficiencyPython ExpertiseBigQuery or Snowflake ExperienceETL/ELT Systems Ownership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Infrastructure DesignETL/ELT Pipeline DevelopmentData ModelingCI/CD AutomationPrompt EngineeringData ValidationGit-Based WorkflowsAnalytics ConsistencyRevenue-Linked PipelinesScalable Automation

Soft Skills

MentoringKnowledge SharingCollaboration

Tools & Technologies

BigQuerySnowflakeDbtFivetranAirbyteMatillionGA4HubSpotSalesforce

Certifications & Qualifications

Bachelor’s Degree in Quantitative Field

Industry Keywords

Data AnalyticsMarketing Data PipelinesCloud-Based ArchitectureGTM Systems IntegrationAI-Ready Systems

Tech Stack

Tools & technologies

BigQueryCloudETLMatillionPythonSnowflakeSQL

About the role

Key responsibilities & impact

Design, build, and scale the data infrastructure powering analytics across Turn/River’s portfolio
Lead the evolution of the data platform for connected, reliable, AI-ready systems
Strengthen marketing data pipelines across Ads, GA, HubSpot, and Salesforce
Lead the design, maintenance, and scalability of the BigQuery data platform and ETL/ELT pipelines
Unify GTM systems into reliable revenue-linked funnel models
Build standardized schemas and dbt packages for analytics consistency across companies
Implement CI/CD, data validation, and tagging standards
Design and implement LLM-powered workflows using prompt engineering, RAG, and agent-based automation
Mentor junior data engineers and analysts and lead knowledge-sharing across the portfolio
Define and execute a 12–24-month platform roadmap toward near-real-time flows, identity resolution, and modular reuse
Partner with Marketing, RevOps, Analytics, and Systems teams to create actionable insights and scalable automation

Requirements

What you’ll need

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 using dbt, Fivetran, Airbyte, or Matillion
Advanced proficiency in BigQuery or Snowflake and modern cloud-based architecture
Ability to design scalable data models and enforce engineering best practices, including Git-based workflows and CI/CD automation
Experience integrating GTM systems (Ads, HubSpot, Salesforce, GA4)
Experience building reliable revenue-linked pipelines
Demonstrated success leading complex data projects and mentoring technical contributors
Bachelor’s degree in a quantitative field or equivalent professional experience
Ability to work onsite in the San Francisco office three days a week
Ability to work in the US; visa sponsorship requirements must be disclosed

Benefits

Comp & perks

Competitive salary and discretionary bonus
Medical, dental, and vision insurance covered 100% for employee & dependents
Flexible vacation policy
401K 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 Monday & Friday
Energetic work environment with snacks and weekly team lunches 3x per week
Holiday parties
Annual company offsite and retreat
Annual summer "work from anywhere" month