Senior Data Engineer

<div class="content-intro"><p>The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more.&nbsp; <br><br>Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. <br><br>The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.</p></div><p><strong>ABOUT THE ROLE</strong></p> <p>This role sits within the Technology Operations group in Engineering at The Trade Desk and focuses on building reliable, scalable, and well‑governed enterprise data solutions. As a Senior Software Engineer – Data Engineer, you will be an end‑to‑end owner for complex data pipelines, models, and integrations that power analytics, reporting, and internal products.</p> <p>This is a hands-on senior role with growing technical leadership expectations. You will work independently on ambiguous problems, influence design decisions, and mentor others, while still operating within an established architecture and technical direction.</p> <p><strong>WHAT YOU WILL DO:</strong></p> <ul> <li>Own complex data pipelines end to end.&nbsp; Design, build, and operate scalable batch and near‑real‑time ETL/ELT pipelines using Snowflake, Databricks, Spark, and cloud storage.</li> <li>Drive data modeling and warehouse design. Define and implement dimensional models, data marts, and curated datasets that balance performance, usability, and governance.</li> <li>Raise data quality and reliability.&nbsp; Implement robust data quality checks, validations, monitoring, and alerting to ensure data accuracy, freshness, and trust.</li> <li>Collaborate deeply with stakeholders. Partner with product managers, BI teams, data scientists, and internal business teams to translate business needs into well‑designed data solutions.</li> <li>Lead design without owning architecture. Proactively propose technical improvements, review designs, and influence standards while aligning with broader platform and architectural direction.</li> <li>Mentor and raise the bar.&nbsp; Provide technical guidan