Resident Solution Architect

📋 Description

• Act as a trusted technical advisor to enterprise customers, understanding their business objectives
• Gather and analyze customer technical requirements and design scalable, secure, and maintainable
• Design and implement modern Lakehouse and Data + AI architectures using Databricks and associated
• Develop and guide proof-of-concepts, technical workshops, architecture demonstrations, and solution
• Work extensively with Apache Spark, PySpark, SQL, and Databricks to build and optimize data
• Design scalable data ingestion, transformation, processing, and analytics pipelines.

🎯 Requirements

• 9+ years of professional experience in data engineering, software engineering, solution
• Strong hands-on expertise with Databricks, Apache Spark/PySpark, SQL, and modern data engineering
• Proven experience designing and implementing data pipelines, data platforms, Lakehouse
• Strong understanding of data engineering fundamentals, including ingestion, transformation
• Experience with at least one major cloud platform: AWS, Azure, or GCP.
• Demonstrated solution architecture and technical design experience, with the ability to translate

🎁 Benefits

• Fully remote position for candidates based in India.
• Full-time employment with an annual compensation range of ₹35,00,000–₹60,00,000, depending on
• Opportunity to work directly with enterprise customers on complex data, AI, and cloud
• Hands-on exposure to Databricks, Apache Spark, Lakehouse architecture, cloud data platforms, and
• Significant involvement across the full solution lifecycle, from discovery and POCs through
• Opportunities to lead technical workshops, architecture engagements, enablement sessions, and