Microsoft Fabric Data Solutions Architect

About Sonata Software

In today's market, we observe a distinct duality in technology adoption. On one front, clients are keenly focused on cost containment, while on the other, there is a strong drive to modernize their digital storefronts, aiming to appeal to both consumers and B2B customers alike. As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Platformation playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients.Headquartered in Bengaluru, India, Sonata Software has a strong global presence, with strategic operations spanning across key regions such as the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in TMT (Telecom, Media, and Technology), Retail & CPG, Manufacturing, BFSI (Banking, Financial Services and Insurance), and HLS (Healthcare and Lifesciences). Our bouquet of Modernization Engineering services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Ge Job Title : Data Science Engineer

Experience : 4–8 years

Role Summary : Role Overview :

The Microsoft Fabric Developer will be responsible for designing, developing, and maintaining end-to-end data and analytics solutions using the Microsoft Fabric platform. The role involves working across Data Engineering, Data Science, and Business Intelligence components within Fabric — leveraging Data Factory, Lakehouse, Data Engineering, Data Science, and Power BI experiences to deliver scalable, governed, and business-ready insights.

This position requires strong technical expertise in Microsoft Fabric architecture, Power BI, and Azure data services, coupled with the ability to translate business needs into performant, automated data pipelines and analytical models.

Key Responsibilities :

• Data Ingestion & Integration
• Design and implement data ingestion pipelines using Microsoft Fabric Data Factory .

2. Data Engineering & Modeling

3. Business Intelligence & Visualization

4. Collaboration & Automation

5. Governance & Best Practices

Required Skills & Experience :

Good-to-Have Skills :

Education :

Soft Skills :