Databricks Solution Architect-Databricks Champion

📋 Description

• Design and implement enterprise data and lakehouse architectures using Databricks.
• Develop scalable data solutions using Databricks, Azure, GCP, Spark, PySpark, SQL.
• Provide technical leadership across architecture, implementation, and deployment phases.
• Establish data governance and security practices using Unity Catalog.
• Partner with enterprise clients to translate requirements into architectural solutions.
• Advise stakeholders on cloud, data, analytics, and AI transformation strategies.

🎯 Requirements

• 3-8 years experience in data engineering, cloud architecture, or analytics consulting.
• Hands-on expertise with Databricks, Azure, and GCP.
• Databricks Champion status or equivalent expertise mandatory.
• Experience with enterprise and lakehouse architecture, large-scale implementations.
• Strong knowledge of Apache Spark, PySpark, SQL, Unity Catalog, data governance.
• Exposure to Terraform, CI/CD, and automated deployment practices.

🎁 Benefits

• Fully remote position.
• High-impact consulting environment.
• Modern technology stack: Databricks, Azure, GCP, Spark, SQL, Terraform, CI/CD.
• Architecture ownership of lakehouse and data platform solutions.
• Client-facing exposure with enterprise stakeholders.
• Professional growth in data, cloud, analytics, and AI.