Data Tech Lead - Databricks

• #### What We’re Building
• 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**

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