Senior AI Data and Analytics Engineer
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Job Description
Senior AI data engineer architecting Databricks pipelines, semantic models, and AI agents. Powering analytics for Samsara’s Connected Operations IoT platform across physical industries.
Responsibilities:
- Partner on defining the strategy and multi-quarter roadmap for MDA's data and AI foundation
- Architect and own marketing data infrastructure, including ETL/ELT pipelines, Databricks Gold Layer tables, and core data models
- Design semantic layers, data dictionaries, and structured documentation for self-serve BI and conversational analytics
- Partner with the BI team to ensure sales and marketing KPIs use trusted, well-modeled data
- Translate ambiguous business questions from Marketing, Sales, and R&D into requirements and scalable solutions
- Lead complex, cross-team initiatives end to end, including new data pipelines and integrations
- Manage risk across interdependent teams and own reliability and data quality
- Serve as senior technical lead for complex problems, raising engineering and code review quality
- Remove bottlenecks across teams and mentor engineers and analysts
- Build AI-enabled data products and agents with integrations, retrieval pipelines, and evaluation practices
- Identify and automate manual workflows with AI across Marketing and GTM teams
- Take AI workflow ideas from concept through prototype to production and influence organizational roadmaps
- Ship high-quality Python and SQL, increasingly by directing agentic coding tools
- Review and verify AI-generated work before production
- Champion and embed Samsara’s cultural principles as the company scales globally and across new offices
Requirements:
- 8+ years of experience in data engineering, analytics engineering, or AI engineering, including deep hands-on data engineering experience
- Expert-level Python and SQL
- Strong hands-on data modeling and dbt experience
- Deep experience with data warehouse and lakehouse architectures, ETL/ELT, and the modern data stack
- Hands-on Databricks or similar platforms such as Snowflake or BigQuery
- Experience building semantic layers and structured documentation optimized for AI ingestion and agentic workflows
- Regular use of agentic coding tools such as Claude Code or Cursor, with ownership and verification of AI-generated output
- Experience building, shipping, evaluating, and monitoring LLM or agent systems in production
- Track record of leading complex, cross-team data initiatives
- Independent requirements gathering with technical and non-technical stakeholders
- Experience supporting Marketing, Sales, or Product teams
- Experience working with Databricks and building AI Agents within the ecosystem
- Software engineering background beyond data or AI engineering
- Expertise in data visualization and dashboards for sales and marketing KPIs
- Familiarity with CRM, such as Salesforce, marketing automation, web analytics, and MarTech tools
- Experience building interactive applications with Streamlit, Claude workflows, or web frameworks
- Data science, machine learning, or predictive analytics experience
- Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies
- Candidates must reside in the United States
- Ability to secure and maintain the legal right to work at Samsara and in the specified work location, if applicable
Benefits:
- Initial RSU grant with no vesting cliff
- Ongoing equity refresh opportunities tied to performance
- Performance-based bonus/variable pay
- Equity for eligible roles
- Flexible, employee-led remote model
- Professional development stipend
- Comprehensive health plans
- Parental leave plans
- Flexible working model
- Remote work support where aligned with operational requirements
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