Resident Solution Architect (RSA) - Data & Databricks

📋 Description

• Data Architecture & Solution Design: Design end-to-end data, analytics, and Lakehouse solutions
• Data Engineering & Pipeline Development: Develop, review, and optimize robust ETL/ELT pipelines
• Databricks Platform Engineering: Design and implement solutions using Delta Lake, Unity Catalog
• Cloud Data Solutions: Architect scalable data environments across Microsoft Azure, Amazon Web
• Customer Engagement & Technical Consulting: Lead technical discovery sessions, architecture
• Architecture Documentation & Governance: Prepare high-level designs (HLDs), low-level designs

🎯 Requirements

• Professional Experience: At least 8 years of experience in data engineering, data architecture
• Databricks Expertise: Strong hands-on experience with Databricks and enterprise data platforms
• Big Data & Distributed Computing: Deep knowledge of Apache Spark and PySpark, including
• Programming & Querying: Advanced proficiency in Python and SQL, with experience developing
• Data Engineering & Architecture: Proven experience designing scalable ETL/ELT pipelines, data
• Cloud Platforms: Practical experience with at least one major cloud provider: Azure, AWS, or GCP.

🎁 Benefits

• Competitive Compensation: Annual salary ranging from INR 40–70 lakhs per annum (LPA), depending on
• Remote Flexibility: Work remotely from India, with the flexibility to contribute from your
• Full-Time Employment: A full-time opportunity focused on enterprise data architecture and modern
• Technical Impact: Lead the design and delivery of scalable data platforms and influence
• Professional Development: Expand your expertise in Databricks, Lakehouse architecture, cloud data
• Technical Leadership Opportunities: Guide engineering teams, mentor technical professionals, and