Responsibilities
- Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement
- Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication
- Set and enforce strong engineering practices around code reviews, testing, observability, and documentation
- Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales
- Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer)
- Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs
- Ensure data security, compliance, and scalability — especially around first-party customer data
- Mentor junior engineers through code reviews, pairing, and technical roadmap discussions
Requirements
- 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership
- Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow
- Deep experience working in GCP, especially BigQuery, GCS, and Composer
- Strong SQL skills and familiarity with DBT for modeling and documentation
- Clear understanding of data privacy and governance, including how to safely manage and segment first-party data
- Experience working in agile environments, including sprint planning and ticket scoping
- Excellent communication skills and proven ability to work cross-functionally across global teams
Nice to Have
- Experience leading data engineering teams in digital media or performance marketing environments
- Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4)
- Exposure to BI tools like Tableau or Looker
- Experience collaborating with data scientists on ML workflows and experimentation platforms
- Knowledge of data contracts, schema versioning, or platform ownership patterns
Benefits
- Monthly long weekends — every third Friday off
- Wellness reimbursement to support your health and balance
- Paid parental leave
- Remote-first culture with flexibility and trust
- Leadership role in a fast-growing global data team inside a globally recognized brand
