Fabric Engineer

Role: Principal Solution Architect - Microsoft Fabric & AI Location: 100% Remote Duration: Long Term Contract/Full-time Job Summary

We are looking for a Technical Leader / Solution Architect with strong experience in Data, Analytics , Microsoft Fabric, AI, Cloud and modern engineering. The role will partner with clients, lead technical solutions, and coordinate onshore/offshore delivery teams.

• Act as a trusted technical advisor to client stakeholders and engineering leaders.
• Design scalable Data, Analytics, Microsoft Fabric , AI, and Cloud solutions aligned with business objectives.
• Provide hands-on technical leadership across architecture, POCs, design reviews, troubleshooting, and development.
• Leverage AI-assisted development tools such as ClaudeCode to improve engineering productivity.
• Lead and coordinate onshore/offshore teams and drive complex initiatives to successful delivery.
• Mentor engineers and establish engineering standards and best practices.
• Participate in client workshops, solution discussions, proposals, estimates, and technical presentations.
• Identify opportunities for innovation, automation, and account growth.

• 12+ years of experience in technical leadership, solution architecture, or consulting.
• Strong experience in Data Engineering, Microsoft Fabric , Analytics, Cloud, and AI/GenAI.
• Experience designing and implementing solutions using Microsoft Fabric components such as Data Factory, Lakehouse, Warehouse, OneLake, and related analytics capabilities.
• Hands-on experience with Microsoft Fabric , Power BI, modern data platforms, and AI-assisted development.
• Experience leading distributed/onshore-offshore engineering teams.
• Strong architecture, problem-solving, communication, and client-facing skills.
• Ability to translate business requirements into scalable technical solutions.

• Experience with Microsoft Fabric, AWS, Azure, Databricks or Snowflake.
• Experience with LLMs, RAG, AI Agents, and Generative AI.
• Experience in cloud modernization and enterprise data transformation.
• Consulting experience with proposals, RFPs, estimates, and account growth.
• Knowledge of DevOps, CI/CD, automation, and modern software engineering practices.

For applications and inquiries,