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Senior AI Data & Analytics Engineer II

Samsara· Marketing Systems & Intelligence
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Hybrid (Remote - Seattle)$137.4k - $231kfull-timePosted 3d ago

About the role

Senior-level engineering role focused on building and governing Samsara's marketing data and AI foundation, designing Databricks pipelines, semantic models, and AI-enabled data products to support self-serve analytics 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 for segmentation, targeting, automation, and analytics.
  • Design semantic layers, data dictionaries, and structured documentation to enable self-serve BI and conversational analytics, partnering with the BI team.
  • Translate ambiguous business questions from Marketing, Sales, and R&D into clear requirements and scalable solutions, working autonomously without dedicated PM support.
  • Lead complex, cross-team initiatives end to end: stand up new data pipelines and integrations quickly, manage risk across interdependent teams, and own data quality and reliability.
  • Serve as the senior technical lead for the team's hardest problems: raise engineering quality, remove bottlenecks, mentor engineers and analysts.
  • Drive strategic use of AI to solve high-impact problems: build AI-enabled data products and agents with reliable retrieval and evaluation practices.
  • Identify and automate manual workflows with AI across Marketing and GTM teams from concept to production, influencing org roadmaps.
  • Ship high-quality Python and SQL, leveraging agentic coding tools, and verify AI-generated output before production.
  • Champion Samsara’s cultural principles as we scale globally.

Qualifications

  • 8+ years of experience in data engineering, analytics engineering, or AI engineering with hands-on data engineering.
  • Expert-level Python and SQL with 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 structured documentation optimized for AI ingestion and agentic workflows.
  • Experience with agentic coding tools (e.g., Claude Code, Cursor) and ownership of AI-generated output.
  • Experience building, shipping, evaluating, and monitoring LLM or agent systems in production.
  • Track record leading complex, cross-team data initiatives and gathering independent requirements from technical and non-technical stakeholders.
  • Experience supporting Marketing, Sales, or Product teams.

Skills

Required:PythonSQLDBTDatabricksSemantic layersAI/LLM systems
Nice to have:Agency tooling
Last updated Oct 24, 2026. Interested? Apply on the company site.

About Samsara

Samsara | The Connected Operations Platform

Samsara's connected operations platform helps 20,000+ operations improve safety, cut costs, and run smarter — built with operators.

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