Senior AI Data and Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate in establishing the strategy and multi-quarter roadmap for MDA's data and AI foundation.

• Design and manage the marketing data infrastructure, which includes ETL/ELT pipelines, Databricks Gold Layer tables, and essential data models.

• Create semantic layers, data dictionaries, and well-structured documentation for self-service BI and conversational analytics.

• Work alongside the BI team to guarantee that sales and marketing KPIs utilize reliable, well-structured data.

• Convert ambiguous business inquiries from Marketing, Sales, and R&D into clear requirements and scalable solutions.

• Lead intricate, cross-team projects from inception to completion, including new data pipelines and integrations.

• Ensure the reliability and quality of data within the delivered systems.

• Act as the senior technical authority for complex issues, code reviews, engineering quality, and mentorship.

• Develop AI-enabled data products and agents featuring integrations, retrieval pipelines, and evaluation methodologies.

• Automate manual Marketing and GTM workflows using AI, from prototyping to production.

• Deliver and assess high-quality Python and SQL, including code generated by AI.

• Promote Samsara’s cultural principles throughout the organization.

⛳️ Requirements

• Over 8 years of experience in data engineering, analytics engineering, or AI engineering, with substantial hands-on data engineering expertise.

• Proficiency in Python and SQL at an expert level.

• Extensive hands-on experience in data modeling and DBT.

• In-depth knowledge of data warehouse and lakehouse architectures, ETL/ELT processes, and the modern data stack.

• Practical experience with Databricks or similar platforms like Snowflake or BigQuery.

• Background in developing semantic layers and structured documentation tailored for AI ingestion and agentic workflows.

• Regular use of agentic coding tools such as Claude Code or Cursor, ensuring ownership and verification of AI-generated outputs.

• Experience in building, deploying, evaluating, and monitoring LLM or agent systems in a production environment.

• Proven success in leading complex, cross-team data initiatives.

• Ability to independently gather requirements from both technical and non-technical stakeholders.

• Experience supporting Marketing, Sales, or Product teams.

• Preferred: familiarity with Databricks and AI Agents, software engineering beyond data or AI engineering, data visualization and sales/marketing KPI dashboards, CRM systems like Salesforce, marketing automation, web analytics, MarTech tools, Streamlit, Claude workflows, web frameworks, data science, machine learning, predictive analytics, and exploratory data work.

🏝️ Benefits

• Initial RSU grant with no vesting cliff.

• Continuous refresh opportunities linked to performance.

• Performance-driven bonus/variable pay.

• Equity available for eligible positions.

• Flexible, employee-driven remote work model.

• Professional development stipend.

• Comprehensive health insurance plans.

• Parental leave options.

• Flexible working arrangements.

• Support for remote work aligned with operational needs.