Resident Solution Architect
₹4,000,000 – ₹7,000,000 / yr base salary
Posted 7 Oct 2026
Advertised as “Resident Solution Architect (RSA) - Data & Databricks”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- People management
- Employment
- Remote
- Contract
- Full-time
| Base salary | ₹4,000,000 – ₹7,000,000 / yr |
|---|
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟰𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟳𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟰𝟬-𝟳𝟬 𝗟𝗣𝗔)
Experience: 8+ yrs
Location: Remote (India)
Job Type: Full-time
We are looking for an experienced Resident Solution Architect (RSA) – Data & Databricks to lead the design and delivery of scalable, cloud-based data and analytics solutions for enterprise customers. The role requires strong expertise in Databricks, Data Engineering, PySpark, Python, SQL, Lakehouse Architecture, and Cloud platforms.
The ideal candidate will combine deep technical expertise with strong customer-facing and consulting capabilities. You will work closely with enterprise stakeholders to understand complex business and technology requirements, design effective data solutions, lead architecture discussions and POCs, and provide technical direction to engineering teams.
Requirements
Key Responsibilities
- Design end-to-end Data, Analytics, and Lakehouse solutions using Databricks.
- Develop and review scalable ETL/ELT pipelines and enterprise data platforms.
- Work hands-on with Databricks, Apache Spark, PySpark, Python, and SQL.
- Design solutions using Delta Lake, Unity Catalog, Databricks SQL, and Databricks Workflows.
- Develop scalable data architectures across Azure, AWS, and GCP environments.
- Conduct technical discovery sessions, architecture workshops, and solution discussions with enterprise customers.
- Understand business and technical requirements and translate them into scalable architecture and implementation approaches.
- Prepare High-Level Designs (HLD), Low-Level Designs (LLD), architecture diagrams, technical proposals, and solution documentation.
- Lead POCs, technical demonstrations, solution validations, and architecture assessments.
- Provide technical guidance, mentoring, and architectural direction to Data Engineering teams.
- Review data pipelines, architecture designs, code, and implementation approaches for scalability and maintainability.
- Troubleshoot and optimise Databricks and Spark workloads for performance, scalability, reliability, and cost efficiency.
- Support data platform modernisation, migration, and transformation initiatives.
- Collaborate with Sales, Pre-Sales, Delivery, Product, and Engineering teams on technical solutioning.