Forbes Technologies - Lead Data Engineer - ETL / Data Warehousing

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 :

Nice to have :

Perks :

(ref : hirist.tech)