Senior Analytics Engineer

Senior Analytics Engineer, Marketing Opportunity

We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing attribution logic and end‑to‑end funnel performance data, evolving our current processes into an enterprise‑grade ecosystem. Your mission is to uncover the high‑fidelity signals that drive new customer acquisition and maximize expansion within our existing base. You’ll tackle a sophisticated roadmap of advanced analytics, transforming raw touchpoints into a trusted, scalable framework for growth.

This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine‑driven intelligence.

You will partner closely with Marketing stakeholders, Data Analysts, Data Scientists, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self‑service exploration, or AI‑powered workflows.

• Design, build, and maintain scalable data models using dbt and Snowflake
• Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates)
• Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
• Contribute to a shared semantic layer that enables consistent reporting across channels and tools

• Prepare high‑quality, well‑governed datasets for use with Snowflake Cortex and Snowflake Intelligence
• Enable data foundations that support LLM‑powered use cases such as campaign insights, segmentation, and performance optimization
• Ensure data is context‑rich, well‑documented, and aligned with business meaning to improve AI accuracy and usability

• Implement robust testing, validation, and documentation practices in dbt
• Ensure consistency across dashboards and marketing tools through shared definitions and reusable models
• Apply data governance best practices, including access controls, lineage, and auditability
• Partner across teams to establish clear ownership of marketing data assets and definitions

• Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions
• Support self‑service analytics by building intuitive, reusable datasets across channels (e.g., digital, lifecycle, events)
• Contribute to scalable data workflows that balance immediate campaign needs with long‑term maintainability
• Work within an agile environment, contributing to planning, prioritization, and continuous improvement

• Demonstrate an AI‑first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision‑making
• Understand the importance of well‑modeled, well‑documented, and semantically clear data for AI and LLM‑based use cases
• Have a level of comfort leveraging AI‑assisted workflows to improve productivity, code quality, and consistency
• Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Marketing analytics

• 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
• Strong SQL skills and experience building analytics‑ready data models
• Mentorship and Engineering Excellence: mentorship, raising the technical bar, establishing organization‑wide standards for dbt/SQL quality and CI/CD
• Hands‑on experience with dbt and Snowflake or other ETL, modeling and database platforms
• Solid understanding of data modeling principles, including dimensional modeling and semantic design
• Experience working with Marketing data (e.g., campaign data, web analytics, CRM, attribution models)
• Familiarity with tools such as Salesforce, Marketo, Google Analytics, or similar platforms
• Experience with data quality, testing, and documentation best practices
• Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
• Experience with BI tools such as…