Samsara's Revenue Operations AI & Data Team is building the future of how the company goes to market with intelligence, personalization, and speed. The Sr. Data Engineer will own the data platforms that power Samsara's GTM AI engine, ensuring AI applications are grounded in clean, reliable, and well-structured data.
Requirements
- 5+ years of industry experience in data engineering, with significant experience building large-scale data platforms.
- Deep expertise in Databricks, Spark, and modern data lakehouse architectures.
- Proficiency in Python and SQL, with experience in designing robust ETL/ELT pipelines.
- Experience orchestrating data workflows at scale and enabling machine learning or AI use cases.
- Strong understanding of data modeling, performance optimization, and cost-efficient infrastructure design.
- Experience enabling generative AI workflows in Databricks or similar platforms.
- Familiarity with vector databases, embeddings, and retrieval systems.
Responsibilities
- Own and operate our Databricks data store, ensuring performance, scalability, and reliability.
- Build and manage a visualization store and AI store that empower downstream analytics, machine learning, and AI applications.
- Design and optimize bulk GenAI data pipelines in Databricks to support generative AI applications at scale.
- Partner with AI engineers and data scientists to enable experimentation, model training, and production-grade deployments.
- Develop frameworks for data ingestion, transformation, governance, and monitoring across CRM, sales, and revenue systems.
- Collaborate with cross-functional teams to ensure data infrastructure meets both technical and business needs.
Other
- This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.
- Located in and authorized to work in the United States (this is a fully remote role).
- Ability to collaborate closely with AI/ML teams while driving technical excellence in data engineering.
- Experience with Salesforce, Gong, Outreach, or other CRM/enablement tools as data sources.
- Track record of owning and scaling mission-critical data infrastructure in a high-growth environment.
