Senior AI Data & Analytics Engineer

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

📋 Description

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

• Architect and take ownership of Samsara's marketing data infrastructure, which includes ETL/ELT pipelines, Databricks Gold Layer tables, and fundamental data models.

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

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

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

• Lead intricate, cross-team initiatives from start to finish, encompassing the development of new data pipelines and integrations.

• Manage risks across interconnected teams while ensuring reliability and data quality.

• Act as the senior technical authority for complex challenges, enhancing engineering quality and code review standards.

• Eliminate bottlenecks among teams and provide mentorship to engineers and analysts.

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

• Automate manual workflows with AI across Marketing and GTM teams from concept to production.

• Deliver high-quality Python and SQL code, increasingly by guiding agentic coding tools.

• Review and validate AI-generated outputs before production deployment.

• Advocate for Samsara's cultural principles.

⛳️ Requirements

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

• Proficiency in Python and SQL at an expert level.

• Strong practical experience in data modeling and using dbt.

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

• Hands-on 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 utilization of agentic coding tools such as Claude Code or Cursor, ensuring ownership and verification of AI-generated results.

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

• Proven ability to lead complex, cross-team data initiatives.

• Competence in independent requirements gathering with both technical and non-technical stakeholders.

• Experience in supporting Marketing, Sales, or Product teams.

• Familiarity with Databricks and developing AI Agents within the ecosystem.

• Software engineering expertise that extends beyond data or AI engineering.

• Proficiency in data visualization and dashboards for sales and marketing KPIs.

• Knowledge of CRM, marketing automation, web analytics, and MarTech tools.

• Experience in creating interactive applications using Streamlit, Claude workflows, or web frameworks.

• Background in data science, machine learning, or predictive analytics.

• Comfort in exploring new data sources and methodologies through testing and iteration.

🏝️ Benefits

• Initial RSU grant with no vesting cliff.

• Ongoing refresh opportunities linked to performance.

• Performance-based bonus/variable pay.

• Equity for qualifying positions.

• Flexible, employee-led remote working model.

• Professional development stipend.

• Comprehensive health insurance plans.

• Parental leave policies.

• Support for remote work.

• Option for in-person office attendance.

• Commitment to equal opportunity employment.

• Reasonable accommodations available throughout the recruitment process.