Country/Region:  US
Requisition ID:  40797
Work Model:  Hybrid
Position Type:  Permanent
Salary Range: 
Location:  US - NJ - BIRLASOFT OFFICE

Title:  Architect

Description: 

Area(s) of responsibility

MS Fabric and Databricks Sr. Architect - 6A Grade_HYBRID - 3 days onsite

Experience: 12 to 14 Years

•    Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions in MS Fabric

•     Experience in enterprise adoption ensures the integration of modern, AI-driven capabilities and aligns architecture with key business outcomes

•     MS Fabric, Databricks Architect to lead the design, architecture, and implementation of enterprise-scale data platforms on Databricks.

•     Experience overall data architecture strategy, release planning, and platform roadmap while partnering closely with customer stakeholders to accelerate Databricks adoption and modernization initiatives.

•     Strong technical leadership, customer-facing communication skills, and the ability to drive solutions from strategy through execution.

•     Experience in Implementing Agent Bricks to enable high‑quality, domain‑specific AI agents that automatically refine the performance using enterprise data.

•     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. 

•     Integrate Azure Data Lake, DevOps pipelines, and Databricks workflows to achieve seamless end-to-end automation. 

•     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

•     Define and implement cloud governance and best practices.

•     Identify and implement automation opportunities to increase operational efficiency.

Mandatory Technologies: MS Fabric, Databricks, PySPark, Azure DevOPS, Databricks Genie,  Agent Bricks,