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Role Overview:
- High-impact leadership role building and scaling a modern data engineering foundation from the ground up.
- Lead a growing global team while remaining hands-on with architecture, engineering standards, and cloud data platforms.
Key Responsibilities:
- Establish engineering and architecture standards spanning code quality, testing, documentation, security, and maintainability.
- Oversee production data engineering across ingestion, transformation, and consumption using GCP, BigQuery, dbt, and Airflow.
- Drive AI adoption across workflows and ensure human review, testing, and accountability for AI-assisted outputs.
Who You Are:
- Experienced leader with 3+ years managing data engineering teams and 5+ years hands-on cloud experience.
- Expert in data modeling and cloud platforms with strong project execution and delivery management skills.
- Comfortable with ambiguity, proactive, and results-oriented with excellent stakeholder communication.
Benefits:
- Medical, dental, and vision coverage, plus holiday, vacation, wellness, and birthday paid time off.
- People-focused culture emphasizing trust, inclusion, collaboration, and professional growth.
- Supportive environment promoting work-life balance and ongoing development opportunities.
Jobgether
The company is building a modern data engineering foundation to power analytics and AI readiness on cloud data platforms. It fosters a people-focused, collaborative culture emphasizing trust, inclusion, and professional growth.