Senior AI Data, Analytics Engineer

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

📋 Description

• Collaborate on establishing the strategy and multi-quarter roadmap for the Marketing Data and Analytics foundation focused on data and AI.

• 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 structured documentation to facilitate self-serve BI and conversational analytics.

• Work alongside the BI team to ensure that sales and marketing KPIs are based on reliable, well-modeled data.

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

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

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

• Act as the senior technical authority for challenging issues, conducting code reviews, ensuring engineering quality, and eliminating bottlenecks.

• Provide mentoring to engineers and analysts.

• Develop AI-enhanced data products and agents, incorporating integrations, retrieval pipelines, and evaluation methodologies.

• Streamline manual workflows with AI across Marketing and go-to-market teams, from concept through to production.

• Deliver high-quality Python and SQL, increasingly guiding the use of agentic coding tools.

• Review and validate work generated by AI before it goes into production.

• Advocate for and integrate Samsara’s cultural principles as the organization expands globally and opens new offices.

⛳️ Requirements

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

• Proficient in Python and SQL at an expert level.

• Strong practical experience in data modeling and DBT.

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

• Familiarity with Databricks or similar platforms, including Snowflake or BigQuery.

• Proven experience in building semantic layers and structured documentation tailored for AI ingestion and agentic workflows.

• Regularly utilize agentic coding tools like Claude Code or Cursor, ensuring ownership and validation of AI-generated outputs.

• Experience in constructing, deploying, assessing, and monitoring LLM or agent systems in a production environment.

• A history of leading complex, cross-team data projects.

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

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

• Preferred experience with Databricks and building AI Agents within that ecosystem.

• A software engineering background beyond data or AI engineering is preferred.

• Proficiency in data visualization and dashboard creation for sales and marketing KPIs is preferred.

• Familiarity with CRM systems such as Salesforce, marketing automation, web analytics, and MarTech tools is preferred.

• Experience with Streamlit, Claude workflows, or web frameworks is preferred.

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

• Comfort with testing and iterating on new data sources and methodologies is preferred.

• Ability to secure and maintain the legal right to work in the company and specified work location.

🏝️ Benefits

• Initial RSU grant without a vesting cliff.

• Ongoing equity refresh opportunities linked to performance.

• Performance-based bonus or variable pay.

• Flexible, employee-led remote work model.

• Professional development stipend.

• Comprehensive health plans.

• Parental leave plans.

• Competitive total compensation opportunities above market rates.

• Support for remote work where it aligns with operational requirements.