Senior AI Data & Analytics Engineer II
Samsara· Marketing Systems & Intelligence
Hybrid (Remote - CA)$137.4k - $231kFull-timePosted 1w ago
About the role
Senior-level data/AI engineering role focused on defining strategy and building the data/AI foundation for Samsara's Marketing Data & Analytics team, including Databricks pipelines, Gold Layer tables, semantic models, and AI-enabled data products.
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 for segmentation, targeting, automation, and analytics.
- Design semantic layers, data dictionaries, and structured documentation enabling self-serve BI and conversational analytics; partner with the BI team to ensure KPIs are built on trusted data.
- Translate ambiguous business questions from Marketing, Sales, and R&D into clear requirements and scalable solutions; work autonomously without dedicated PM support; influence decisions with data and sound reasoning.
- Lead complex, cross-team initiatives end to end: stand up new data pipelines and integrations, manage risk across interdependent teams, own data reliability and quality of what ships.
- Serve as the senior technical lead for the team’s hardest problems: raise engineering quality, remove bottlenecks, mentor engineers/analysts.
- Drive strategic use of AI to solve high-impact problems: build AI-enabled data products and agents with reliable retrieval/integration/evaluation practices.
- Identify and automate manual workflows with AI across Marketing and GTM teams; take ideas from concept to prototype to production and influence roadmaps.
- Ship high-quality Python and SQL, guiding agentic coding tools, with thorough review of AI-generated output before production.
- Champion Samsara’s cultural principles across scaling efforts.
Qualifications
- 8+ years of experience in data engineering, analytics engineering, or AI engineering with hands-on data engineering experience.
- Expert-level Python and SQL, strong data modeling and DBT experience.
- Deep experience with data warehouse and lakehouse architectures, ETL/ELT, modern data stack; hands-on Databricks (or Snowflake/BigQuery).
- Experience building semantic layers and documentation optimized for AI ingestion and agentic workflows.
- Experience with agentic coding tools (e.g., Claude Code, Cursor) and ownership of AI-generated outputs.
- Experience building, shipping, evaluating, and monitoring LLM or agent systems in production.
- Track record of leading complex, cross-team data initiatives with stakeholder collaboration.
- Experience supporting Marketing, Sales, or Product teams.
Skills
Required:PythonSQLDBTDatabricksData Warehousing / LakehouseSemantic Layers / Data DictionariesAI/LLM Systems in ProductionAgentic Coding Tools
Benefits
- Total Rewards: base salary, performance-based bonus/variable pay, and equity (for eligible roles)
Last updated Oct 17, 2026. Interested? Apply on the company site.
About Samsara
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