Lead Data Platform Engineer

📋 Description

• Lead the evolution of the global data platform for scalability, reliability, and performance.
• Define architecture standards and engineering practices for Azure/Databricks.
• Serve as a technical reference for architecture decisions and code reviews.
• Design reusable components, frameworks, and accelerators to boost productivity.
• Evaluate emerging tech and recommend improvements to strengthen the platform.
• Collaborate with architects and product stakeholders to define tech roadmaps.

🎯 Requirements

• Proven experience leading complex tech initiatives for large-scale data platforms.
• Strong experience designing data engineering architectures, standards, and practices.
• Ability to influence decisions across teams and stakeholders.
• Experience conducting code reviews and mentoring engineers.
• Hands-on Databricks experience.
• Strong Python and/or PySpark development skills.

🎁 Benefits

• Profit-sharing and performance-based incentives.
• Health and dental insurance.
• Flexible benefits card.
• TotalPass wellness program.
• Mental health support through Zenklub.
• Language learning program.