Senior AI Data & Analytics Engineer for AI Data Platforms

Samsara Inc.

San Francisco (CA)

Hybrid

USD 137,000 - 231,000

Full time

4 days ago
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Benefits offered by this job

Professional development stipend
Health & parental leave
Remote-friendly

Job summary

Samsara is hiring for a senior data/AI engineer to architect and guide the data foundation powering marketing and sales analytics. You will build Databricks pipelines, semantic models, and robust data products, collaborating with BI and Data Science teams to deliver scalable AI-enabled solutions.

Ideal candidates have 8+ years in data or AI engineering, expert Python/SQL, Databricks experience, and a track record of leading cross-functional data initiatives; remote-friendly with hybrid

Qualifications

  • 8+ years in data engineering, analytics engineering, or AI engineering with hands-on data work.
  • Expert-level Python and SQL with strong data modeling and DBT experience.
  • Experience with data warehouse/lakehouse architectures and modern data stack tools.

Responsibilities

  • Define strategy and multi-quarter roadmap for data and AI foundation.
  • Architect and own data infrastructure: ETL/ELT, Databricks Gold Layer, and core models.
  • Design semantic layers, data dictionaries, and AI-enabled BI workflows.
  • Translate business questions into scalable data solutions and lead cross-team initiatives.
  • Mentor engineers and analysts; review AI-generated outputs for production readiness.

Skills

Python
SQL
DBT
Databricks
Data warehousing
ETL/ELT
AI/LLM engineering
Data modeling
Mentoring

Education

Bachelor's degree in a technical field

Tools

Databricks
Snowflake/BigQuery
Claude/Agent tools
Streamlit

Job description

Samsara is hiring for a senior data/AI engineer to architect and guide the data foundation powering marketing and sales analytics. You will build Databricks pipelines, semantic models, and robust data products, collaborating with BI and Data Science teams to deliver scalable AI-enabled solutions.

Ideal candidates have 8+ years in data or AI engineering, expert Python/SQL, Databricks experience, and a track record of leading cross-functional data initiatives; remote-friendly with hybrid

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