The Role :

We're hiring a Data Engineering Lead to help scale and guide a growing team of data engineers.

This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed.

You'll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases.

You'll be expected to drive engineering excellence - from code quality to deployment hygiene - and play a key role in sprint planning, architectural discussions, and stakeholder collaboration.

This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics.

What You'll Do :

- 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

What You Bring :

- 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

Perks :

- Day off on the 3rd Friday of every month (one long weekend each month)

- Monthly Wellness Reimbursement Program to promote health well-being

- Monthly Office Commutation Reimbursement Program

- Paid paternity and maternity leaves