Azure Databricks - Architect

Birlasoft; Pune District; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Birlasoft in Pune is seeking an experienced Azure Data Architect to design and implement cloud-based data solutions. The role emphasizes building secure, scalable data platforms on Azure and AWS, including data warehouses and data lakes to support reporting, AI and machine learning.

You will collaborate with clients to gather requirements, articulate trade-offs, and enforce cloud governance. The ideal candidate has 14–16 years of experience and strong hands-on Azure Databricks, ADF, Synapse, and

Qualifications

• 14–16 years of overall experience in data and cloud architecture.
• 3+ years of hands-on Azure Data Architect experience.
• Strong design of data warehouses and data lakes for reporting, AI and ML.
• Experience with Azure Databricks, ADF, Synapse and PySpark.
• Ability to translate business requirements into scalable cloud solutions.
• Knowledge of data modelling and data governance.

Responsibilities

• Architect and implement secure, scalable cloud data solutions on Azure and AWS.
• Collaborate with clients to translate business needs into technical designs.
• Define cloud governance and best practices, enforce security standards.
• Identify automation opportunities to improve operational efficiency.
• Lead knowledge sharing and training sessions for clients and teams.

Skills

Azure Databricks

ADF

PySpark

Architecture

Tools

Azure Synapse

Job description

Job Description:

Area(s) of responsibility

Azure Data Architect

Experience: 14 to 16 Years , 3+ Years of experience in Azure Data Architect

Cloud Architect with experience in Azure ADF, Databricks, PySpark

Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on AWS and Azure Cloud

Experince in Azure Databricks and ADF, Azure Synapse and PySpark

Experience with integration of different data sources with Data Warehouse and Data Lake is required

Experience in creating Data warehouse, data lakes for Reporting, AI and Machine Learning

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 platforms.

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.

Mandatory Skillset: Azure Databricks, ADF, Architecture, PySpark