Lead Data Engineer - Databricks (Remote)

About the role

We partner with global enterprises to design and scale data platforms that power products used by millions. The role focuses on technical leadership, architectural ownership, and mentoring while remaining hands‑on.

Key responsibilities

• 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.

Required profile

• 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).

Required skills

• Python
• SQL
• PySpark
• Databricks
• AWS