Description
We are looking for a Senior AI Data & Analytics Engineer II to join our Marketing Data and Analytics (MDA) Engineering team. As part of this role, you will shape the technical roadmap alongside our BI and Data Science peers. You will architect core Databricks pipelines, Gold Layer tables, and semantic models, turning ambitious, ambiguous 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 the core data models that power segmentation, targeting, automation, and analytics.
- Design the 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.
- Serve as the senior technical lead for the team's hardest problems.
- Drive the strategic use of AI to solve ambiguous, high-impact problems.
- Identify and automate manual workflows with AI across Marketing and GTM teams.
- Ship high-quality Python and SQL.
Requirements:
- 8+ years of experience in data engineering, analytics engineering, or AI engineering.
- Expert-level Python and SQL.
- Deep experience with data warehouse and lakehouse architectures, ETL/ELT, and the modern data stack.
- Experience building semantic layers and structured documentation optimized for AI ingestion and agentic workflows.
- 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.