Data Tech Lead - Databricks

#### What We’re Building We partner with global enterprises to design and scale data platforms that power products used by millions of users. Our work involves large-scale data systems, complex pipelines, and high-impact business use cases across multiple industries. This role focuses on **technical leadership**, architectural ownership, and **mentoring** while remaining hands-on. #### Future Opportunity Role – Talent Pipeline This is a future opportunity role. We continuously meet talented engineers to support upcoming client projects. While there may not be an immediate opening, qualified candidates may be considered for future engagements. #### Your Role as a Tech Lead As a **Tech Lead, Data Engineering**, you will own the technical direction of data initiatives while remaining hands-on. You’ll act as the bridge between architecture, execution, and people leadership. #### What You’ll Do * **Own the technical direction and architecture** of data engineering projects * Design and build **scalable, production-grade data pipelines** using **Databricks, PySpark, AWS, and SQL** * Lead by example with **hands-on development**, code reviews, and technical decision-making * **Mentor and guide data engineers**, promoting best practices, clean code, and high engineering standards * Drive architectural discussions, trade-offs, and long-term technical vision * Collaborate closely with **product, data, and engineering stakeholders** * Tackle **enterprise-scale data challenges** with real-world business impact business outcomes #### What We’re Looking For * **10+ years of experience** in Data Engineering or related roles * **Proven experience as a Tech Lead, Lead Data Engineer, or similar role** * Strong hands-on expertise with: **Python & SQL, PySpark, Databricks and AWS** * Solid background in **data architecture, pipeline design, and distributed systems** * Experience mentoring engineers and leading technical initiatives * Strong communication skills and the ability to influence technical decisions * Fluent in English (spoken and written) #### Location * **Fully remote** * Must have availability to work overlapping **U.S. Pacific, Central, or Eastern time zones** #### Application Deadline Applications will be accepted until June 28, 2026. Candidates can expect feedback by July 1, 2026.

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