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 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.
- Design semantic layers, data dictionaries, and structured documentation for self-serve BI and conversational analytics.
- Translate ambiguous business questions 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.
- Champion Samsara's cultural principles.
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.
- Experience with agentic coding tools.
- Experience building, shipping, evaluating, and monitoring LLM or agent systems.
- Track record of leading complex, cross-team data initiatives.
Nice to Have:
- Experience working with Databricks and building AI Agents.
- Software engineering background.
- Expertise in data visualization and building dashboards.
- Familiarity with go-to-market data and systems.
- Experience building interactive applications.
- Data science, machine learning, or predictive analytics experience.