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 **July 26, 2026**. Candidates can expect feedback by August 3, 2026.