Head of Data Warehousing

April 16

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Forbes

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.

Business • Finance • Investing • Technology • Politics

201 - 500 employees

Founded 1917

📱 Media

💸 Finance

👥 B2C

💰 $200M Corporate Round on 2022-02

📋 Description

• The Head of Data Warehousing is a strategic, senior leadership role responsible for setting the vision and direction of our data warehousing function. • You will architect, implement, and maintain a state-of-the-art data warehouse that drives actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. • Your leadership will ensure data quality, robust pipeline design, and seamless integration with business intelligence tools. • This role requires a strong mix of technical acumen, team management, and cross-functional collaboration— especially with teams focused on SEM, Digital Experiences, and revenue attribution.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. • 8+ years of experience in data engineering, warehousing, or analytics roles, with at least 3–5 years in a leadership capacity. • Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. • Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. • Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. • Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. • Solid understanding of attribution models (first-touch, last-touch, multi- touch) and experience working with paid marketing channels. • Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. • Outstanding communication skills, capable of distilling complex technical information into clear business insights. • Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment.

🏖️ Benefits

• Flexible/Remote Working: Enjoy flexible work arrangements in a collaborative, distributed team culture. • Competitive Compensation: Attractive salary, performance-based bonuses, and comprehensive benefits. • Time Off: Generous paid time off, parental leave policies, and a dedicated day off on the 3rd Friday of each month.

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