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Job DescriptionWe’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
Why Join Us
● 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
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