Senior AI Data & Analytics Engineer II
Samsara· Marketing Systems & Intelligence
Hybrid (Remote (Austin))$137.4k - $231kfull-timePosted 1w ago
About the role
Senior-level data/AI engineering role focused on building the data foundation powering AI and self-serve analytics for Samsara's Marketing Data & Analytics team. Responsible for Databricks pipelines, Gold Layer tables, semantic models, and AI-enabled data products, with leadership across cross-team initiatives and mentoring.
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, partnering with the BI team to ensure core sales and marketing KPIs are built on trusted, well-modeled data.
- Translate ambiguous business questions from Marketing, Sales, and R&D into clear requirements and scalable solutions, working autonomously without dedicated PM support and influencing decisions with data and sound reasoning.
- Lead complex, cross-team initiatives end to end: stand up new data pipelines and integrations quickly, manage risk across interdependent teams, and own the reliability and data quality of what ships.
- Serve as the senior technical lead for the team's hardest problems: raise the bar for engineering quality and code review, remove bottlenecks that slow multiple teams, and mentor engineers and analysts.
- Drive the strategic use of AI to solve ambiguous, high-impact problems: build AI-enabled data products and agents, with the integrations, retrieval pipelines, and evaluation practices that keep them reliable and trustworthy.
- Identify and automate manual workflows with AI across Marketing and GTM teams, taking ideas from concept to prototype to production and influencing org roadmaps.
- Ship high-quality Python and SQL, increasingly by directing agentic coding tools, while holding a high bar for reviewing and verifying AI-generated work before it reaches production.
- Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.
Qualifications
- 8+ years of experience in data engineering, analytics engineering, or AI engineering, including deep hands-on data engineering experience.
- Expert-level Python and SQL, with strong hands-on data modeling and DBT experience.
- Deep experience with data warehouse and lakehouse architectures, ETL/ELT, and the modern data stack, including hands-on Databricks (or similar, such as Snowflake or BigQuery).
- Experience building semantic layers and structured documentation optimized for AI ingestion and agentic workflows.
- Agentic coding tools (e.g., Claude Code, Cursor) are part of your regular workflow, and you verify and take ownership of AI-generated output.
- Experience building, shipping, evaluating, and monitoring LLM or agent systems in production.
- Track record of leading complex, cross-team data initiatives, including independent requirements gathering with technical and non-technical stakeholders.
- Experience supporting Marketing, Sales, or Product teams.
Skills
Required:PythonSQLDBTDatabricksData Warehousing/LakehouseSemantic LayeringAI/LLM SystemsAgentic Coding Tools
Benefits
- Total Rewards includes base salary, performance-based bonus/variable pay, and equity (for eligible roles).
- Flexible, employee-led remote model; health and parental leave plans; professional development stipend.
Last updated Oct 17, 2026. Interested? Apply on the company site.
About Samsara
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