Your responsibilities will include: Architecting the foundation of our marketing intelligence system using BigQuery and dbt infrastructure Enabling AI & Agents by developing the semantic layer and structured knowledge base Mapping the customer journey by integrating disparate signals across digital, product, and sales Scaling through partnerships by partnering with Enterprise, Product, Sales, and Finance teams

You will bring: Deep experience with BigQuery, dbt, and semantic layers Proven ability to apply automation or LLM-assisted workflows to the data modeling lifecycle Ability to build complex, interconnected systems by starting with the desired outcome and working backward Collaborative communication skills Operational excellence & governance skills

Bonus points for: GTM fluency Marketing science foundations Identity resolution AI production scaling

XML job scraping automation by YubHub

Key responsibilities include:

Architecting the foundation: designing and building the core BigQuery and dbt infrastructure that powers our marketing intelligence, transforming raw signals into high-fidelity, agent-ready data products.

Enabling AI & Agents: developing the semantic layer and structured knowledge base that allows AI agents to accurately 'talk' to our business data and reason through complex performance questions.

Mapping the journey: integrating disparate signals across digital, product, and sales into a unified lifecycle model that tracks the customer's path from discovery to revenue.

Scaling through partnerships: partnering with Enterprise, Product, Sales, and Finance teams to align on shared metrics while mentoring other engineers to uphold high standards for our data foundation.

Requirements include:

Deep experience with BigQuery, dbt, and semantic layers.

Ability to build complex, interconnected systems by starting with the desired outcome and working backward.

Systems & Design Thinking: the ability to look at a complex web of data and see the underlying architecture required to make it simple and extensible.

Collaborative Communication: a track record of 'translating' technical debt into business value and coaching peers through complex architectural hurdles.

Operational Excellence & Governance: treating data as infrastructure and having deep experience implementing data contracts, automated quality monitoring (DQM), and governance frameworks.

XML job scraping automation by YubHub