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Azure Databricks Solution Architect

Date Posted: Jul 03, 2026

Job Detail

  • location_on
    Location Bengaluru, Karnataka, India
  • desktop_windows
    Job Type: Full Time/Permanent
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
  • calendar_view_day
    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
  • calendar_month
    Apply Before: Nov 14, 2026

Job Description

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.

Preferred skills

  • Technology › Data Engineering › Databricks
  • Technology › Big Data - Data Processing › PySpark
  • Technology › Cloud Platform › Azure Networking Services › Azure CDN

About the role

  • Role: Principal Consultant
  • Experience: 12 - 15 years
  • Education: MBA, MCA, ME, MSc, MTech, Bachelor of Engineering, BCA, BSc, BTech

Source: Infosys careers — Read the original posting and apply

This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.

Company Overview

Infosys
Infosys · Bengaluru, Karnataka, India
1,811 open roles

Infosys is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More

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