Senior AI Data & Analytics Engineer II
Samsara · Remote - NYC
About this role
**Senior AI Data & Analytics Engineer II — Samsara (US)** **Who we are** Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud—helping organizations that depend on physical operations harness IoT data to create actionable insights and improve safety, efficiency, and sustainability. **About the role** Join Samsara’s Marketing Data and Analytics (MDA) Engineering team to build the data foundation powering AI and self-serve analytics at scale. You’ll shape the technical roadmap with BI and Data Science peers, architect Databricks pipelines and Gold Layer tables, and deliver semantic models and data products that enable automation and cross-functional decision-making. **In this role, you will** - Partner on defining the strategy and multi-quarter roadmap for MDA’s data and AI foundation. - Architect and own marketing data infrastructure (ETL/ELT pipelines, Databricks Gold Layer tables, and core data models for segmentation, targeting, automation, and analytics). - Design semantic layers, data dictionaries, and structured documentation for self-serve BI and conversational analytics—partnering with BI to ensure trusted, well-modeled sales & marketing KPIs. - Translate ambiguous business questions into clear requirements and scalable solutions, working autonomously without dedicated PM support. - Lead complex, cross-team initiatives end to end (new pipelines/integrations, risk management, reliability and data quality ownership). - Serve as senior technical lead for the team’s hardest problems (raise engineering quality, improve code review, remove bottlenecks, mentor engineers and analysts). - Drive strategic AI usage for ambiguous, high-impact problems (AI-enabled data products/agents with reliable integrations, retrieval pipelines, and evaluation). - Identify and automate manual workflows with AI across Marketing and GTM teams (concept → prototype → production; influence org roadmaps). - Ship high-quality Python and SQL, increasingly by directing agentic coding tools—while rigorously reviewing and verifying AI-generated work before production. - Champion and embed Samsara’s cultural principles: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team. **Minimum requirements** - 8+ years in data engineering, analytics engineering, or AI engineering, including deep hands-on data engineering. - Expert-level Python and SQL; strong hands-on data modeling and dbt experience. - Deep experience with data warehouse/lakehouse architectures, ETL/ELT, and the modern data stack; hands-on Databricks (or similar: Snowflake/BigQuery). - Experience building semantic layers and structured documentation optimized for AI ingestion and agentic workflows (including verifying and taking ownership of AI-generated output). - Experience building, shipping, evaluating, and monitoring LLM/agent systems in production. - Track record leading complex, cross-team data initiatives and gathering requirements with technical and non-technical stakeholders; experience supporting Marketing/Sales/Product teams. **Ideal candidate also has** - Experience with Databricks and building AI Agents within the ecosystem. - Software engineering background beyond data/AI, with a track record of delivering well-architected solutions to ambiguous problems. - Expertise in data visualization and building dashboards for sales/marketing KPIs. - Familiarity with go-to-market data and systems (CRM like Salesforce, marketing automat
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