Azure Databricks - Architect

Birlasoft; Pune District; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Birlasoft is seeking an experienced Azure Data Architect in Pune to lead design and implementation of secure, scalable cloud data solutions. The role requires deep expertise in Azure Databricks, ADF, PySpark and data architecture, with strong collaboration with clients to translate business needs into technical cloud-based outcomes.

You will shape data warehouse and data lake strategies, ensure governance, and drive automation to improve operational efficiency across projects in a dynamic client

Qualifications

• 14 to 16 years of overall experience in data and cloud architecture.
• 3+ years of hands-on experience as Azure Data Architect or similar role.
• Experience with Azure Databricks, ADF, PySpark and data platforms on Azure.

Responsibilities

• Design and implement secure, scalable cloud data architectures on AWS and Azure.
• Work with Azure Databricks, ADF, Synapse and PySpark for data processing.
• Collaborate with clients to translate business requirements into cloud data solutions.
• Define cloud governance and best practices; identify automation opportunities.
• Conduct knowledge sharing and training on cloud technologies.

Skills

Azure Databricks

ADF

Architecture

PySpark

Job description

Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI

Area(s) of responsibility

JD - 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 platform
• 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