Lead Data Engineer

Stack

Details

Kostenlos, nach der Anmeldung.

Bewerben

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Beschreibung

Accountabilities: - You will lead key aspects of data engineering, platform strategy, and team development, ensuring that data is reliable, secure, accessible, and useful across business functions. Working closely with senior leadership and cross-functional stakeholders, you will translate business needs into effective technical solutions while improving data quality and operational performance. Build, maintain, test, and document data pipelines and dbt models within Snowflake to ensure reliable, trusted data. - Integrate data from paid media platforms, web analytics, SEO tools, CRM systems, and other business applications using ELT platforms such as Fivetran or Airbyte, alongside direct API integrations. - Monitor data pipelines, investigate failures, resolve root causes, and proactively prevent disruptions before they affect internal teams or clients. - Maintain data governance standards, including access controls, privacy safeguards, and consent requirements. - Develop clear semantic layers, consistent metric definitions, and comprehensive metadata so AI agents can reliably interpret and use data. - Design secure, governed access patterns for AI-powered tools, ensuring permissions are respected, queries remain appropriately scoped and read-only, and results can be traced to their sources. - Partner with senior leadership to define data architecture, establish technical roadmaps, and evaluate build-versus-buy-versus-partner decisions. - Translate business and client require

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