Senior AI Data & Analytics Engineer

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

📋 Description

• Collaborate in defining 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 organized documentation to facilitate 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 requirements and scalable solutions.

• Drive complex, cross-team initiatives from start to finish, including data pipelines and integrations.

• Manage risks across interlinked teams, ensuring reliability and data quality.

• Act as the senior technical lead for intricate issues, overseeing code reviews, engineering quality, and the resolution of bottlenecks.

• Provide mentorship to engineers and analysts.

• Develop AI-enabled data products and agents, incorporating integrations, retrieval pipelines, and evaluation practices.

• Streamline manual workflows using AI across Marketing and GTM teams, from concept to production.

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

• Review and validate AI-generated outputs prior to production.

• Advocate for and incorporate Samsara’s cultural principles.

⛳️ Requirements

• Over 8 years of experience in data engineering, analytics engineering, or AI engineering, with significant 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.

• Proficient in Databricks or similar platforms like Snowflake or BigQuery.

• Experience in developing semantic layers and structured documentation optimized for AI ingestion and agentic workflows.

• Regularly utilize agentic coding tools such as Claude Code or Cursor, with responsibility for verifying AI-generated results.

• Proven experience in building, deploying, evaluating, and monitoring LLM or agent systems in production environments.

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

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

• Experience providing support to Marketing, Sales, or Product teams.

🏝️ Benefits

• Initial RSU grant with no vesting cliff.

• Continuous equity refresh opportunities linked to performance.

• Performance-based bonus or variable pay.

• Flexible, employee-led remote work model.

• Stipend for professional development.

• Comprehensive health coverage options.

• Parental leave benefits.

• Competitive total compensation above market rates.

• Office spaces available for employees who prefer in-person work.

• Reasonable accommodations provided throughout the recruitment process.