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Infosys

Azure Databricks Solution Architect

Bangalore, India

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hirly's read of this role

Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Infosys is seeking an experienced Azure Databricks Solution Architect to lead the design and implementation of modern cloud-based data platforms leveraging Azure, Databricks, PySpark, and Big Data technologies.

The ideal candidate will have extensive experience in architecting scalable Data Engineering solutions, defining enterprise data strategies, implementing Lakehouse Architecture, and driving cloud transformation programs using Azure Databricks and the broader Azure Data Platform ecosystem.

Responsibilities

Lead architecture, design, and implementation of enterprise-scale Azure Databricks solutions.

Define and govern modern Data Engineering and Data Architecture standards.

Design scalable ETL/ELT frameworks, data pipelines, and cloud-native data platforms.

Architect solutions using Azure Databricks, PySpark, Azure Data Factory, ADLS Gen2, and Azure Synapse Analytics.

Build and optimize large-scale Data Lake, Delta Lake, and Lakehouse Architecture implementations.

Drive cloud migration and modernization initiatives from legacy platforms to Azure.

Collaborate with business leaders, enterprise architects, and delivery teams to define solution roadmaps.

Lead performance optimization, scalability improvements, and platform modernization efforts.

Establish best practices around Data Governance, Security, Data Quality, and Compliance.

Support project estimation, solution reviews, architecture governance, and technical presales activities.

Mentor Data Engineers and technical teams on Azure and Databricks best practices.

Evaluate emerging Azure and Databricks capabilities to enable innovation and platform optimization.

Required Skills

12–14 years of experience in Data Engineering, Data Architecture, and Cloud Data Platforms.

Strong expertise in Azure Databricks and enterprise-scale Databricks implementations.

Deep hands-on experience with PySpark, Apache Spark, Spark SQL, Python, and SQL.

Extensive knowledge of Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), and Azure ecosystem services.

Proven experience designing and implementing Lakehouse Architecture and Delta Lake solutions.

Technical requirements

Experience with Azure Synapse Analytics and enterprise analytics platforms.

Exposure to Structured Streaming, Real-Time Data Processing, and Event-Driven Architectures.

Knowledge of Medallion Architecture and modern Data Mesh concepts.

Experience with multi-cloud environments including AWS and GCP.

Familiarity with Infrastructure as Code (Terraform, ARM Templates).

Experience leading cloud migration and digital transformation programs.

Education

MBA,MCA,ME,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech

Original posting on Infosys's site ↗

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