Architect and Build the Core Knowledge Base linking raw context to analytics fields.
Develop Intelligent Agents: chatbots that provide context and docs to engineers.
Establish QA Automation: scalable automated QA in CI/CD for data workflows.
Set Governance Standards: data governance, metadata, and docs practices.
Technical Leadership: SME for tool integrations into web/mobile/OTT stacks.

🎯 Requirements

7+ years Development & Programming: Python or JS/Node.js
7+ years SQL & Cloud Data Warehousing: Snowflake, BigQuery
4+ years Data Modeling & Architecture
QA Automation: Cypress/Playwright or similar
Technical Documentation for dev tools and data pipelines
Digital Analytics concepts: client-side vars and GA/Adobe schemas
Version Control: Git/GitHub/GitLab

🎁 Benefits

A High-Impact Environment
Commitment to Professional Development
Flexible and Collaborative Culture
Global Opportunities
Vibrant Community
Total Rewards

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