Architect

Birlasoft; New Jersey; Hybrid; USD 160,000 - 210,000; Full time

Job summary

Birlasoft seeks a Sr. Architect to design and implement cloud-based MS Fabric and Databricks solutions. The role emphasizes secure, scalable architectures, enterprise data platforms, and AI-driven capabilities. You will partner with stakeholders to accelerate Databricks adoption and define roadmaps.

The position requires 12–14 years of experience, strong leadership, and a track record of delivering end-to-end data solutions in a hybrid onsite (NJ) setting.

Qualifications

• 12–14 years of experience in cloud architecture and data platforms.
• Strong leadership and customer-facing communication skills.
• Proven ability to design secure, scalable, highly available cloud solutions.

Responsibilities

• Design and implement secure, scalable cloud-based solutions in MS Fabric.
• Lead architecture and implementation of enterprise-scale data platforms on Databricks.
• Align architecture with business outcomes and accelerate Databricks adoption.
• Define platform roadmap, governance, and automation opportunities.
• Collaborate with stakeholders to translate requirements into technical solutions.

Skills

MS Fabric

Databricks

Cloud architecture

AI-driven capabilities

Data platforms

Leadership

Stakeholder communication

Education

Bachelor's degree in CS or related field

Tools

Azure Data Lake

Databricks workflows

Genie AI tools

Job description

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

Experience: 12 to 14 Years

Responsibilities

• 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 ImplementingAgent Bricksto 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.