Data Platform Architect

Company Description Evon Technologies is an AI-first engineering company headquartered in Dehradun, India, combining deep technical expertise with the stability of a talent-rich tier-2 city. The organization delivers custom web and mobile applications, AI enablement with LLMs and agentic AI, embedded systems, gaming solutions, and comprehensive cloud and platform services. With over 20 years in the industry and more than 500 engineers, Evon maintains long-term partnerships with global clients including TVS, Reliance Industries, and the UK Government, supported by 70%+ repeat and referral business. The company is CMMI Level 3, ISO 27001:2022, and ISO 9001:2015 certified, and holds AWS Partner and Microsoft Partner credentials. Applicants join a team focused on high-impact engineering, strong client relationships, and modern technology stacks across AI, cloud, and enterprise solutions.

Role: Data Platform Architect

Location: Indianapolis, Indiana, USA

Work Model: Onsite

* Design, build, and deploy end-to-end integrations between Databricks data products and enterprise CRM platforms.

* Work hands-on with Delta Lake, Unity Catalog, PySpark, and Spark SQL for data consumption, transformation, and movement.

* Develop and implement scalable REST APIs and AWS-based data services and pipelines.Integrate customer, account, and product master data, ensuring accurate schema mapping, reconciliation, and change management.

* Apply AI in data engineering, integration, or software development contexts.Modernize legacy integrations using cloud-native architecture and ensure data quality, observability, error handling, and reliable data delivery.

* Lead the integration workstream while actively contributing to coding, code reviews, deployments, and troubleshooting.

* Collaborate with client stakeholders and cross-vendor teams to resolve defects, manage dependencies, and ensure successful delivery.

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* Hands-on experience with Databricks, Delta Lake, Unity Catalog, and Lakehouse/Medallion Architecture.

* Practical experience applying AI in data, integration, or software development.

* Strong experience building AWS-based data services and transformation pipelines. * Expertise in REST API design, development, and implementation at scale.

* Strong hands-on skills in PySpark and Spark SQL.

* Experience with Master Data Management (MDM), particularly customer, account, and product master data integrations.

* On-site presence in Indianapolis, USA, with travel for key program meetings as required.

* Strong client communication, technical leadership, and cross-team collaboration skills.

* Candidates must demonstrate hands-on delivery experience across all the required technical skills.

Interested can share their profile to [Confidential Information] or refer a suitable candidate.

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