Senior AI Data, 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, comprising ETL/ELT pipelines, Databricks Gold Layer tables, and core data models.

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

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

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

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

• Manage risks across interdependent teams and ensure data reliability and quality.

• Act as the senior technical authority for intricate issues, enhancing engineering quality and code review practices.

• Eliminate bottlenecks impacting multiple teams while mentoring engineers and analysts.

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

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

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

• Advocate for Samsara’s cultural principles across global teams and new offices.

⛳️ Requirements

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

• Proficiency 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.

• Hands-on experience with Databricks or similar platforms, such as Snowflake or BigQuery.

• Experience in constructing semantic layers and structured documentation tailored for AI ingestion and agentic workflows.

• Regular utilization of agentic coding tools like Claude Code or Cursor, with responsibility for verifying AI-generated outputs.

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

• Demonstrated ability to lead intricate, cross-team data initiatives and independently gather requirements from both technical and non-technical stakeholders.

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

• Ideal: Familiarity with Databricks and AI Agents within the ecosystem.

• Ideal: Background in software engineering beyond data or AI engineering.

• Ideal: Expertise in data visualization and dashboards for sales and marketing KPIs.

• Ideal: Knowledge of CRM systems such as Salesforce, marketing automation, web analytics, and MarTech tools.

• Ideal: Experience with Streamlit, Claude workflows, or web frameworks.

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

• Ideal: Comfort in an exploratory environment and iterating on new data sources and methodologies.

• Must be a resident of the United States.

• Legal authorization to work at the company and in the specified work location, if applicable.

🏝️ Benefits

• Initial RSU grant with no vesting cliff.

• Continuous equity refresh opportunities linked to performance.

• Performance-based bonus/variable pay.

• Flexible, employee-driven remote work model.

• Professional development stipend.

• Comprehensive health insurance plans.

• Parental leave policies.

• Above-average total compensation opportunities.

• Flexible working model with remote, hybrid, or on-site options based on operational needs.