Lead Data Engineer

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(*Note: This is a requirement for one of Uplers' client - Forbes Advisor)

What do you need for this opportunity?

Must have skills required:

Forbes Advisor is Looking for:

Job Title:

Company:

The Role

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.

What youll 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