S Senior AI Data & Analytics Engineer II Remote - CA Python Go SQL

ContentBuffer; New York (NY); Remote; USD 180,000 - 250,000; Full time

Job summary

Samsara is hiring a Senior Data/AI Engineer to join the Marketing Data and Analytics Engineering team. You will architect core Databricks pipelines, build the Gold Layer, and shape semantic models that power segmentation, targeting, automation, and analytics.

You will translate ambiguous questions into scalable data solutions, lead cross-team data initiatives end to end, mentor engineers, and drive AI-enabled data products while upholding our customer-centric values.

Qualifications

• 8+ years in data/analytics engineering or AI engineering.
• Expert Python and SQL with data modeling and DBT experience.
• Experience with data warehouses and lakehouses (Databricks, Snowflake, BigQuery).

Responsibilities

• Define strategy and multi-quarter roadmap for MDA's data and AI foundation.
• Architect marketing data infrastructure: ETL/ELT, Databricks Gold Layer, data models.
• Design semantic layers and documentation for self-serve BI and AI ingestion.
• Translate ambiguous business questions into scalable data solutions; work autonomously.
• Lead cross-team data pipelines end to end; ensure data quality.
• Mentor engineers and analysts; review AI-generated output.
• Drive AI initiatives to build AI-enabled data products and agents.
• Automate workflows with AI across Marketing and GTM teams.
• Ship Python and SQL code with responsible AI practices.
• Embed Samsara’s cultural principles as we scale.

Skills

Python

SQL

Databricks

ETL/ELT

AI engineering

Data modeling

Tools

DBT

Snowflake

BigQuery

Redshift

Job description

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the role:

Want to build the data foundation powering AI and self-serve analytics at scale? As part of Samsara's Marketing Data and Analytics (MDA) Engineering team, you will shape the technical roadmap alongside our BI and Data Science peers. You will architect core Databricks pipelines, Gold Layer tables, and semantic models, turning ambitious, ambiguous business challenges into high-value data products, autonomous agents, and cross-functional automation.

This role is open to candidates residing in the US.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. Youwill be surrounded by a high-calibre team that will encourage you to do your best.

In this role, you will:

• 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.

Minimum requirements for the role:

• 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