Lead Data Engineer
We are a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life.
We do this by combining data-driven content, rigorous product comparisons, and user-first design - all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics.
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
\u25cf Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement
\u25cf Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication
\u25cf Set and enforce strong engineering practices around code reviews, testing, observability, and documentation
\u25cf Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales
\u25cf Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer)
\u25cf Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs
\u25cf Ensure data security, compliance, and scalability - especially around first-party customer data
\u25cf Mentor junior engineers through code reviews, pairing, and technical roadmap discussions
What You Bring
\u25cf 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership
\u25cf Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow
\u25cf Deep experience working in GCP, especially BigQuery, GCS, and Composer
\u25cf Strong SQL skills and familiarity with DBT for modeling and documentation
\u25cf Clear understanding of data privacy and governance, including how to safely manage and segment first-party data
\u25cf Experience working in agile environments, including sprint planning and ticket scoping
\u25cf Excellent communication skills and proven ability to work cross-functionally across global teams.
Nice to have
\u25cf Experience leading data engineering teams in digital media or performance marketing environments
\u25cf Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4)
\u25cf Exposure to BI tools like Tableau or Looker
\u25cf Experience collaborating with data scientists on ML workflows and experimentation platforms
\u25cf Knowledge of data contracts, schema versioning, or platform ownership patterns
Why Join Us
\u25cf Monthly long weekends - every third Friday off
\u25cf Wellness reimbursement to support your health and balance
\u25cf Paid parental leave
\u25cf Remote-first culture with flexibility and trust
\u25cf Leadership role in a fast-growing global data team inside a globally recognized brand
