This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Resident Solution Architect based in India.

This role offers the opportunity to work directly with enterprise customers as a trusted technical advisor on complex data and AI initiatives. You’ll design scalable cloud data architectures and help organizations modernize their data platforms using Databricks and Lakehouse technologies. The position combines hands-on engineering with solution architecture, consulting, technical workshops, and customer enablement. You’ll work across Apache Spark, PySpark, SQL, Delta Lake, cloud platforms, data pipelines, and AI-related technologies. The role also provides ownership from early discovery and proof-of-concept stages through production deployment and adoption. It is well suited to an experienced data professional who enjoys solving complex technical challenges while communicating effectively with both engineering teams and business stakeholders.

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Accountabilities:

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Act as a trusted technical advisor to enterprise customers,



understanding their business objectives and translating them into practical data and AI solutions.

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Gather and analyze customer technical requirements and design scalable, secure, and maintainable data architectures.

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Design and implement up-to-date Lakehouse and Data + AI architectures using Databricks and associated platform capabilities.

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Develop and guide proof-of-concepts, technical workshops, architecture demonstrations, and solution evaluations.

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Work extensively with Apache Spark, PySpark, SQL, and Databricks to build and optimize data engineering solutions.

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Design scalable data ingestion, transformation, processing, and analytics pipelines.

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Leverage technologies such as Delta Lake and Unity Catalog to support reliable, governed, and scalable data platforms.

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Support data migration, modernization, and cloud transformation initiatives.

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Integrate data

📌 Resident Solution Architect (India)
🏢 Jobgether
📍 India