Lead Data Engineer

Job not on LinkedIn

June 18

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Forbes

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Media • Finance • B2C

Forbes is a prominent global media company, known for its brand of content covering a wide range of topics such as business, investing, technology, entrepreneurship, leadership, and lifestyle. It features news, analysis, and information about issues of concern to industry leaders and affluent individuals. Forbes is widely recognized for its authoritative rankings of businesses and industry leaders, such as the Forbes Global 2000, and is a trusted source for in-depth analysis of current events and trends in the financial and corporate worlds. Through its digital and print platforms, Forbes engages its audience with high-quality journalism and thought leadership content.

201 - 500 employees

Founded 1917

📱 Media

💸 Finance

👥 B2C

💰 $200M Corporate Round on 2022-02

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• Day off on the 3rd Friday of every month (one long weekend each month) • Monthly Wellness Reimbursement Program to promote health well-being • Monthly Office Commutation Reimbursement Program • Paid paternity and maternity leaves