Databricks Solution ArchitectExperience: 8–15 yearsWe are looking for a hands-on Databricks solution architect with solid Spark, Databricks, data engineering, architecture, and customer-facing experience.Key SkillsApache Spark | Mandatory
- Strong Spark / PySpark and Spark SQL
- Performance tuning and optimization
- Partitioning, shuffling, caching, joins and large-scale data processingDatabricks | Mandatory
- Databricks implementation experience
- Delta Lake and optimization
- Unity Catalog and governance
- Workflows and Medallion Architecture
- Streaming / Auto Loader
- Databricks Asset Bundles, Git and CI/CD
- Cluster sizing and performance optimizationHands-on Coding | Mandatory
- Comfortable writing basic PySpark and SQL
- Strong understanding of joins, aggregations and window functions




- Ability to troubleshoot performance issues
- Focus on logical thinking and problem solving rather than perfect syntaxMigration & Modernization | Preferred
- Data warehouse / ETL modernization
- Hadoop, Teradata, Informatica or similar migrations
- Lakehouse and cloud data platform modernizationClient & Technical Leadership | Mandatory
- Customer-facing architecture and solution design
- Ability to lead technical discussions and workshops
- Stakeholder management
- Technical mentoring and delivery guidance
- Strong problem-solving and troubleshooting skills

📌 Databricks Solution Architect (Pune)
🏢 Antal
📍 Pune