Full-time · Hybrid

Senior Analytics Engineer, GTM Strategy and Operations

This is a high-impact technical role that sits at the intersection of Data Engineering and Business Strategy, specifically focused on scaling GTM operations through AI. You will be responsible for building the data foundation that drives Databricks' own global sales and marketing efficiency. It is a rare chance to use the very product you are helping to build (Databricks) to solve complex internal business challenges.

D
Hiring company

Databricks

San Francisco, California, United States · Posted 16 April 2026

The role

Overview

This is a high-impact technical role that sits at the intersection of Data Engineering and Business Strategy, specifically focused on scaling GTM operations through AI. You will be responsible for building the data foundation that drives Databricks' own global sales and marketing efficiency. It is a rare chance to use the very product you are helping to build (Databricks) to solve complex internal business challenges.

The hiring side

About Databricks

Databricks is an enterprise organisation working in software / cloud computing, based in San Francisco, California, United States.

Industry

Software / Cloud Computing

Size

Enterprise

Location

San Francisco, California, United States

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What they need

Requirements & Skills

Key Responsibilities

  • Design and maintain scalable data models and curated reporting tables
  • Develop a semantic layer to support AI-powered querying and internal tools
  • Lead requirements gathering and execution for strategic analytic projects
  • Build automated forecasts and executive-level dashboards
  • Partner with Sales, Finance, and Marketing to deliver actionable insights

Essential

  • Minimum of 4 years of experience in Analytics Engineering, Data Engineering, or Data Analysis
  • Proven experience working with B2B Sales, Marketing, or Finance datasets
  • At least 3 years of professional SQL expertise
  • At least 2 years of Python programming experience
  • Experience building scalable, production-grade data models
  • Demonstrated ability to integrate LLMs (like Claude) into daily coding and documentation workflows
  • Experience with BI tools and modern data ecosystems

Preferred

  • Direct Go-To-Market (GTM) strategy experience
  • Proficiency with GitHub workflows
  • Hands-on experience with PySpark
  • Experience with Databricks-specific tools like Genie
  • Background in developing AI-driven solutions or AI-ready data structures

Key Skills

SQLPythonData ModelingAI/LLM IntegrationBusiness IntelligenceSemantic Layer DesignStakeholder ManagementPySparkGit/GitHubPredictive Forecasting

Networking

People to Know

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Perks

Benefits & perks

  • Opportunity to work with the Databricks Data Intelligence Platform
  • Exposure to cutting-edge AI and Generative AI initiatives
  • Collaborative environment with cross-functional leadership
  • Professional growth in a high-growth 'unicorn' tech environment
  • Flexible location considerations

Next step

Apply now

Found via www.databricks.com

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