Description
Samsara, a pioneer of the Connected Operations™ Cloud, is seeking a Senior AI Data & Analytics Engineer II to join its Marketing Data and Analytics (MDA) Engineering team. The successful candidate will shape the technical roadmap alongside BI and Data Science peers, architect core Databricks pipelines, Gold Layer tables, and semantic models, and turn ambitious business challenges into high-value data products, autonomous agents, and cross-functional automation.
Responsibilities:
- Partner on defining the strategy and multi-quarter roadmap for MDA's data and AI foundation.
- Architect and own Samsara's marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and core data models that power segmentation, targeting, automation, and analytics.
- Design semantic layers, data dictionaries, and structured documentation that enable self-serve BI and conversational analytics.
- Translate ambiguous business questions from Marketing, Sales, and R&D into clear requirements and scalable solutions.
- Lead complex, cross-team initiatives end to end: stand up new data pipelines and integrations quickly, manage risk across interdependent teams, and own the reliability and data quality of what ships.
- Serve as the senior technical lead for the team's hardest problems: raise the bar for engineering quality and code review, remove bottlenecks that slow multiple teams, and mentor engineers and analysts.
- Drive the strategic use of AI to solve ambiguous, high-impact problems: build AI-enabled data products and agents, with the integrations, retrieval pipelines, and evaluation practices that keep them reliable and trustworthy.
- Identify and automate manual workflows with AI across Marketing and GTM teams, taking ideas from concept to prototype to production and influencing org roadmaps.
- Ship high-quality Python and SQL, increasingly by directing agentic coding tools, while holding a high bar for reviewing and verifying AI-generated work before it reaches production.
Requirements:
- 8+ years of experience in data engineering, analytics engineering, or AI engineering.
- Expert-level Python and SQL, with strong hands-on data modeling and DBT experience.
- Deep experience with data warehouse and lakehouse architectures, ETL/ELT, and the modern data stack, including hands-on Databricks.
- Experience building semantic layers and structured documentation optimized for AI ingestion and agentic workflows.
- Agentic coding tools are part of your regular workflow, and you verify and take ownership of AI-generated output.
- Experience building, shipping, evaluating, and monitoring LLM or agent systems in production.
Nice to Have:
- Experience working with Databricks and building AI Agents within the ecosystem.
- Software engineering background beyond data or AI engineering.
- Expertise in data visualization and building dashboards for sales and marketing KPIs.
- Familiarity with go-to-market data and systems: CRM, marketing automation, web analytics, and MarTech tools.
Compensation:
- Annual Base Salary: $137,445 - $231,000 USD