Senior Databricks Architect

📋 Description

• Design and implement enterprise data solutions using Databricks.
• Lead end-to-end Databricks projects, including migrations from legacy platforms.
• Design and optimize solutions using Apache Spark, with a strong focus on performance and
• Work closely with Databricks Professional Services teams and clients to define and deliver
• Implement CI/CD practices and Databricks Asset Bundles (DABs).
• Troubleshoot complex technical challenges and provide scalable, high-quality solutions.

🎯 Requirements

• 7+ years of experience in Data Engineering, Data Platforms, or Analytics.
• 10+ years of total professional experience.
• Proven experience delivering 4–6+ end-to-end Databricks projects in production.
• Databricks Certification is mandatory (Databricks Associate minimum; Professional preferred).
• Strong hands-on expertise with Apache Spark (internals, window functions, aggregations, clustering).
• Experience with legacy-to-Databricks migrations.

🎁 Benefits

• Remote-first culture – work from anywhere!
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
• In-Company English Lessons.
• Birthday off + an extra vacation week (Mutt Week!)
• Referral bonuses – help us grow the team & get rewarded!
• Maslow: Monthly credits to spend in our benefits marketplace.