Senior Databricks Architect

📋 Description

• Design and implement enterprise-grade data solutions using Databricks, ensuring scalability
• Lead end-to-end Databricks initiatives, including architecture, development, implementation, and
• Design, develop, and optimize data processing solutions using Apache Spark, applying advanced
• Partner with clients and Databricks Professional Services teams to define technical requirements
• Establish and maintain CI/CD practices and use Databricks Asset Bundles (DABs) to support reliable
• Troubleshoot complex data platform and engineering challenges, identifying root causes and

🎯 Requirements

• 10+ years of total professional experience, with at least 7 years in Data Engineering, Data
• Proven experience delivering 4–6+ end-to-end Databricks projects successfully into production
• Databricks certification is mandatory, with Associate certification as the minimum requirement and
• Deep hands-on expertise with Apache Spark, including Spark internals, window functions
• Demonstrated experience migrating data platforms and workloads from legacy technologies to
• Strong expertise in at least one major cloud platform: AWS, Azure, or GCP.

🎁 Benefits

• Remote-first culture with the flexibility to work from anywhere.
• Full coverage for AWS, DBT, Google Cloud, Azure, and Databricks certifications.
• Access to company-sponsored English lessons to support professional development.
• Birthday day off plus an additional vacation week.
• Referral bonuses for helping grow the team.
• Monthly credits through Maslow to use within a benefits marketplace.