Lead Data Engineer

Data Engineering Lead

Forbes Advisor is 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

• 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