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bigquery dbt llms vortex_ai dqm📋 Description
- Architect the Foundation: Build BigQuery and dbt infra for marketing data.
- Enable AI & Agents: Create semantic layer for AI to query data.
- Map the Journey: Unify signals across digital/product/sales into a lifecycle.
- Scale through Partnerships: Align metrics with teams; mentor engineers.
🎯 Requirements
- Data-as-a-Product: Treat data as a high-value product.
- Technical Proficiency: BigQuery, dbt, semantic layers.
- Architectural Design: Build extensible data systems.
- Systems & Design Thinking: See underlying architecture to simplify.
- Collaborative Communication: Translate technical debt into business value, coach peers.
- Operational Excellence & Governance: Data contracts, automated quality monitoring (DQM), governance.
🎁 Benefits
- GTM Fluency: Understand data translates into customer revenue.
- Marketing Science Foundations: MMM, causality, or incrementality.
- Privacy & Ethics: GDPR/CCPA compliance in marketing stacks.
- Identity Resolution: Identity Stitching or Customer 360 frameworks.
- AI Production Scaling: Move AI models and agentic workflows to production.
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