Country/Region:  IN
Requisition ID:  25957
Work Model: 
Position Type: 
Salary Range: 
Location:  INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI

Title:  Sr Architect

Description: 

Area(s) of responsibility

Experience: 12 to 16 Years

 

•            Develop and maintain scalable architecture, data warehouse design and data pipelines and build out new Data Source integrations to support continuing increases in data volume and complexity

•            Assist in designing end to end data and Analytics solution architecture and perform POCs within Azure

•            Drive the design, sizing, estimation & POC activities for Azure Data environments and related services for the use cases and the solutions

•            Reviews the solution requirements support architecture design to ensure the selection of appropriate technology, efficient use of resources and integration of multiple systems and technology.

•            Provide technical guidance, mentoring and code review, design level technical best practices•

•            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.