About the company
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
Responsibilities
- Agentic CDP & Identity Resolution: Architect and deploy Agentic Customer Data Platform (CDP) capabilities to perform intelligent identity resolution, driving automated and highly accurate data enrichment for accounts and contacts.
- GenAI & Agent Architecture: Design LLM-powered systems and internal agents to automate KPI root-cause analysis, generate business insights, and streamline GTM communication.
- Advanced Data Pipelines: Build and manage complex data pipelines to process structured and unstructured data, ensuring high-fidelity inputs for the GTM data estate while seamlessly integrating with our existing governance frameworks.
- GTM Systems Integration: Understand the technology stack and how data flows between critical systems like Salesforce, Xactly, and 6sense to ensure unified data architecture.
- Cross-Functional Partnership: Partner directly with Sales, Marketing, and RevOps leaders to turn strategic business problems into scalable, data-driven AI solutions.
Requirements
- Technical Stack: You have expert proficiency in Python, SQL, and modern data pipelines. You also have experience with Salesforce or equivalent CRM systems.
- Platform Expertise: You will work every day with a variety of data using Databricks’ lakehouse platform. You will become an expert in using Databricks and complementary AI technologies to build production-grade solutions.
- Domain Experience: You typically have strong experience in data engineering, data science, or advanced analytics, with a background working closely with B2B sales, marketing, or finance data.
- Advanced Analytics Background: You have a strong track record in B2B SaaS, machine learning, and generative AI deployment.
- Execution Mindset: You excel in a collaborative environment and translate team member needs into clear deliverables. You work through dependencies, bottlenecks, and tradeoffs with ease.