Azure Architect

Birlasoft; Bengaluru Urban; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A prominent IT services company is seeking a Cloud Architect in Bengaluru. The ideal candidate will be responsible for designing cloud-based solutions, integrating AI capabilities, and collaborating with clients to meet business requirements. Candidates should have extensive experience with Azure, Databricks, and automation processes, as well as a strong understanding of data architecture. This role offers the opportunity to work on cutting-edge technologies and drive innovation within the organization.

Qualifications

• Extensive experience designing and implementing secure cloud-based solutions.
• Expertise in enterprise adoption of AI-driven capabilities.
• Significant background in Azure services and RFP writing.

Responsibilities

• Design secure and scalable cloud solutions.
• Integrate AI-BI tools for natural-language analytics.
• Implement data governance and best practices.

Skills

Cloud-based solutions design

Integration of AI-driven capabilities

Data modeling concepts

Collaboration with clients

Automation opportunities

Tools

Azure

Azure Databricks

ADF

Azure Synapse

PySpark

Job description

Responsibilities

• Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions
• Experience in enterprise adoption ensures the integration of modern, AI-driven capabilities and aligns architecture with key business outcomes.
• Experience in Implementing Agent Bricks to enable high‑quality, domain‑specific AI agents that automatically refine the performance using enterprise data.
• Cloud Architect with experience in Azure along with experience in RFP and proposal writing
• Experience in creating Data warehouse, data lakes for Reporting, AI and Machine Learning
• Integrate Genie and AI‑BI tools to enable natural‑language analytics within Databricks One and the broader AI/BI suites.
• Experience in Azure Databricks and ADF, Azure Synapse and PySpark
• Integrate Azure Data Lake, DevOps pipelines, and Databricks workflows to achieve seamless end‑to‑end automation.
• Participate in pre‑sales activities, including RFP and proposal writing
• Experience with integration of different data sources with Data Warehouse and Data Lake is required
• Understanding of data modelling and data architecture concepts
• To be able to clearly articulate pros and cons of various technologies and platforms
• Collaborate with clients to understand their business requirements and translate them into technical solutions that leverage AWS and Azure cloud
• Define and implement cloud governance and best practices.
• Identify and implement automation opportunities to increase operational efficiency.
• Conduct knowledge sharing and training sessions to educate clients and internal teams on cloud technologies.