Senior AI Data & Analytics Engineer II

Samsara • New York, NY

9d • $137,445 - $231,000

About The Position

As part of Samsara's Marketing Data and Analytics (MDA) Engineering team, this role shapes the technical roadmap alongside BI and Data Science peers. The engineer architects core Databricks pipelines, Gold Layer tables, and semantic models, turning ambiguous business challenges into valuable data products, autonomous agents, and cross-functional automation. The role is open to candidates residing in the US.

The position owns the marketing data infrastructure and supports self-serve BI and conversational analytics. It partners with Marketing, Sales, R&D, and BI to translate business needs into scalable solutions, lead complex initiatives, and ensure shipped data products are reliable and high quality. It also leads the team's most challenging technical work, mentors engineers and analysts, and advances the strategic use of AI through production-ready products, agents, and workflow automation.

The role requires strong hands-on experience with data engineering, Python, SQL, data modeling, DBT, modern data warehouse and lakehouse architectures, and production LLM or agent systems. The position also uses agentic coding tools while retaining responsibility for verifying their output. Compensation is an annual base salary of $137,445–$231,000 USD, with an initial RSU grant and ongoing refresh opportunities tied to performance, subject to plan terms. The position is also eligible for performance-based bonus or variable pay and equity as described in the total rewards information.

Requirements

• At least 8 years of experience in data engineering, analytics engineering, or AI engineering, including deep hands-on data engineering experience.
• Expert-level Python and SQL skills, 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 a similar platform such as Snowflake or BigQuery.
• Experience building semantic layers and structured documentation optimized for AI ingestion and agentic workflows.
• Regular use of agentic coding tools such as Claude Code or Cursor, with responsibility for verifying and owning AI-generated output.
• Experience building, shipping, evaluating, and monitoring LLM or agent systems in production.
• Track record leading complex, cross-team data initiatives, including independently gathering requirements from technical and non-technical stakeholders.
• Experience supporting Marketing, Sales, or Product teams.

Nice To Haves

• Experience with Databricks and building AI agents within its ecosystem.
• Software engineering background beyond data or AI engineering, with a record of turning ambiguous, unfamiliar problems into well-architected delivered solutions.
• Expertise in data visualization and building dashboards for sales and marketing KPIs.
• Familiarity with go-to-market data and systems, including CRM such as Salesforce, marketing automation, web analytics, and MarTech tools.
• Experience building interactive applications with Streamlit, Claude workflows, or web frameworks.
• Data science, machine learning, or predictive analytics experience.
• Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies.

Responsibilities

• Partner on defining the strategy and multi-quarter roadmap for MDA's data and AI foundation.
• Architect and own marketing data infrastructure, including 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 for self-serve BI and conversational analytics; partner with BI to ensure sales and marketing KPIs are based on trusted data.
• Translate ambiguous business questions from Marketing, Sales, and R&D into requirements and scalable solutions, working autonomously and influencing decisions with data and sound reasoning.
• Lead complex cross-team initiatives end to end, including rapidly establishing pipelines and integrations, managing interdependent risks, and owning reliability and data quality.
• Serve as senior technical lead on the team's hardest problems, raise engineering and code-review quality, remove cross-team bottlenecks, and mentor engineers and analysts.
• Build AI-enabled data products and agents, including integrations, retrieval pipelines, and evaluation practices to ensure reliability and trustworthiness.
• Identify and automate manual workflows with AI across Marketing and GTM teams, from concept and prototype through production, and influence organizational roadmaps.
• Ship high-quality Python and SQL, increasingly by directing agentic coding tools, and review and verify AI-generated work before production.
• Champion and model Samsara's cultural principles: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team.

Benefits

• Initial RSU grant with no vesting cliff and ongoing refresh opportunities tied to performance, subject to plan terms and conditions.
• Performance-based bonus or variable pay and equity for eligible roles.
• Flexible, employee-led remote work model.
• Professional development stipend.
• Comprehensive health and parental leave plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed