This role is for one of our clients

Seniority level: Mid-Senior level
Industry: Technology, Information and Internet

Min Experience: 9+ years
Location: Remote (India)
JobType: full-time
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n₹35,00,000 - ₹60,00,000 a year

We are looking for an experienced Resident Solutions Architect with solid expertise in Databricks, Apache Spark, Data Engineering and Cloud Data Platforms.

The RSA will work closely with enterprise customers to understand complex data and AI requirements, design scalable architectures, lead technical engagements and help customers successfully implement and productionize solutions on the Databricks platform.

The ideal candidate combines strong hands-on technical expertise with excellent customer-facing, consulting and communication skills.

Requirements

Key Responsibilities

• Work directly with enterprise customers as a trusted technical advisor.

• Understand customer business and technical requirements and translate them into scalable data architectures.

• Design and implement modern Lakehouse / Data + AI architectures using Databricks.





• Develop and guide POCs, technical workshops and architecture demonstrations.

• Work extensively with Apache Spark / PySpark, SQL and Databricks.

• Design scalable data ingestion, transformation and processing pipelines.

• Work with Delta Lake, Unity Catalog and Databricks platform capabilities.

• Support data migration and modernization initiatives.

• Integrate Databricks with cloud platforms such as AWS, Azure or GCP.

• Troubleshoot performance, scalability, reliability and data pipeline issues.

• Work with customer engineering, data science, architecture and leadership teams.

• Provide technical recommendations around data engineering, analytics, ML/AI and cloud architecture.

• Create reference architectures, technical documentation and implementation guidance.

• Support production deployment and adoption of Databricks solutions.

• Conduct technical workshops, enablement sessions and know

📌 Resident Solution Architect (India)
🏢 Weekday`
📍 India