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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and analytics, with a strong focus on Python, SQL, and data modeling. Capable of leading cross-team initiatives and building AI-enabled data products while ensuring data quality and reliability.
Highest-signal resume keywords
Expert-Level PythonExpert-Level SQLData ModelingETL/ELT ExperienceDatabricks Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringAnalytics EngineeringAI EngineeringData Warehouse ArchitectureLakehouse ArchitectureDBT ExperienceBuilding Semantic LayersAgentic Coding ToolsData VisualizationPredictive Analytics
Soft Skills
Cross-Team CollaborationIndependent Requirements GatheringMentoring
Tools & Technologies
DatabricksSnowflakeBigQuerySalesforceStreamlitClaude WorkflowsWeb Frameworks
Industry Keywords
Marketing DataAnalyticsKPIAI ProductsMarTech Tools
Tech Stack
Tools & technologiesBigQueryETLPythonSQL
About the role
Key responsibilities & impact- Partner on the strategy and multi-quarter roadmap for the Marketing Data and Analytics data and AI foundation
- Architect and own marketing data infrastructure, including ETL/ELT pipelines, Databricks Gold Layer tables, and core data models
- Design semantic layers, data dictionaries, and structured documentation for self-serve BI and conversational analytics
- Partner with the BI team to ensure sales and marketing KPIs use trusted, well-modeled data
- Translate ambiguous business questions from Marketing, Sales, and R&D into requirements and scalable solutions
- Lead complex, cross-team initiatives end to end, including new pipelines and integrations
- Manage risk across interdependent teams and own reliability and data quality
- Serve as senior technical lead for complex problems, raise engineering quality, conduct code reviews, remove bottlenecks, and mentor engineers and analysts
- Build AI-enabled data products and agents with integrations, retrieval pipelines, and evaluation practices
- Automate manual workflows with AI across Marketing and go-to-market teams from concept through production
- Ship high-quality Python and SQL, increasingly directing agentic coding tools and reviewing AI-generated work
- Champion Samsara’s cultural principles as the company scales globally and across new offices
Requirements
What you’ll need- 8+ years of experience in data engineering, analytics engineering, or AI engineering, including deep hands-on data engineering experience
- Expert-level Python and SQL
- Strong hands-on data modeling and DBT experience
- Deep experience with data warehouse and lakehouse architectures, ETL/ELT, and the modern data stack
- Hands-on Databricks or similar platforms 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 ownership and verification 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
- Independent requirements gathering with technical and non-technical stakeholders
- Experience supporting Marketing, Sales, or Product teams
- Ability to secure and maintain the legal right to work at Samsara and in the specified work location
- Preferred: Experience working with Databricks and building AI Agents within the ecosystem
- Preferred: Software engineering background beyond data or AI engineering
- Preferred: Expertise in data visualization and dashboards for sales and marketing KPIs
- Preferred: Familiarity with CRM systems such as Salesforce, marketing automation, web analytics, and MarTech tools
- Preferred: Experience with Streamlit, Claude workflows, or web frameworks
- Preferred: Data science, machine learning, or predictive analytics experience
- Preferred: Comfort working in an exploratory environment and iterating on new data sources and methodologies
Benefits
Comp & perks- Initial RSU grant with no vesting cliff
- Ongoing refresh equity opportunities tied to performance
- Performance-based bonus/variable pay
- Equity for eligible roles
- Flexible, employee-led remote model
- Professional development stipend
- Comprehensive health plans
- Parental leave plans
- Above-market total compensation opportunities
- Offices available for employees who prefer to work in-person
- Reasonable accommodations throughout the recruiting process