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Salary
≈ $17k – $38k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 8+ years exp
Employment
Full-Time

First seen by Alion on Oct 30, 2026.

Overview
Company
Impact
Profile match
Sonata Software is an Indian IT services and technology company headquartered in Bengaluru that provides modernization engineering across cloud, data, AI, Microsoft Dynamics, test automation and managed services. Founded in 1986 and listed in India, it runs the Harmoni.AI enterprise platform and works with Fortune 500 clients in banking, retail, healthcare, manufacturing and technology, with a presence in the US, UK, Malaysia, Mexico, Australia, the DACH region and the Nordics. It hires data and cloud architects, MLOps and DevOps engineers, .NET and full-stack developers, identity and security specialists, SharePoint administrators and JD Edwards consultants.

Hands-on Power Apps Development

  • Design and develop Canvas Apps using Power Fx, responsive layouts, reusable components, and advanced controls.
  • Build Model-Driven Apps using Dataverse tables, forms, views, dashboards, business rules, and business process flows.
  • Implement application logic, validations, navigation, and role-based experiences.
  • Optimize application performance, delegation, data retrieval, and user experience.
  • Troubleshoot complex application issues and provide technical guidance to developers.
  • Build proof of concepts and technical prototypes to validate architecture decisions.

Power Automate and Workflow Automation

  • Design and develop cloud flows for business process automation and system integration.
  • Implement automated, instant, and scheduled flows, approvals, notifications, and multi-step workflows.
  • Integrate Power Automate with Power Apps, Dataverse, SQL Server, SharePoint, Microsoft 365, and external systems.
  • Implement reusable automation patterns, child flows, and appropriate error-handling mechanisms.
  • Troubleshoot flow failures, connection issues, performance problems, and integration errors.
  • Define best practices for flow design, reliability, maintainability, and operational support.

Dataverse Architecture and Data Modeling

  • Design Dataverse data models, tables, columns, relationships, and business rules.
  • Define appropriate security roles, teams, business units, and record-level access.
  • Optimize data structures and relationships for performance and maintainability.
  • Implement auditing, data validation, and appropriate data management practices.
  • Design integration patterns between Dataverse, SQL Server, and other enterprise systems.
  • Evaluate data storage and licensing implications when selecting architectural approaches.

AI Builder and AI-powered Solutions

  • Design and implement solutions using Microsoft AI Builder capabilities.
  • Evaluate suitable AI Builder models for document processing, information extraction, classification, and prediction use cases.
  • Integrate AI Builder with Power Apps, Power Automate, and Dataverse.
  • Design automated document processing and data extraction workflows.
  • Evaluate model accuracy, validation requirements, exception handling, and human review processes.
  • Assess AI feasibility, consumption considerations, and expected business value.

SQL Server and Enterprise Integration

  • Design integrations between Power Platform applications and SQL Server.
  • Work with tables, views, stored procedures, queries, and relational data models.
  • Optimize SQL queries and data access patterns for application performance.
  • Understand connector requirements, authentication, permissions, and gateway considerations where applicable.
  • Design secure and maintainable integration patterns between Power Platform and enterprise systems.
  • Troubleshoot data connectivity, performance, and integration issues.

Microsoft Copilot Studio – Added Advantage

  • Design and develop AI-powered agents using Microsoft Copilot Studio.
  • Configure knowledge sources, topics, actions, and generative answers.
  • Integrate agents with Power Automate, Dataverse, SharePoint, and enterprise applications.
  • Evaluate agent use cases and identify opportunities for AI-led business process automation.
  • Apply appropriate security, data-access, testing, and responsible AI practices.

ALM, Governance, and DevOps

  • Establish application lifecycle management practices across development, test, and production environments.
  • Design solution packaging and deployment strategies using managed and unmanaged solutions.
  • Configure environment variables and connection references.
  • Define development standards, version control practices, and CI/CD approaches using Azure DevOps or GitHub where appropriate.
  • Establish governance practices covering environments, connectors, DLP policies, security, and monitoring.
  • Guide teams on release management, testing, documentation, and production readiness.

Technical Leadership and Stakeholder Management

  • Engage with business stakeholders to understand requirements and translate them into technical solutions.
  • Lead architecture reviews, design discussions, and technical decision-making.
  • Mentor developers and conduct design and code reviews.
  • Work with project managers, business analysts, QA teams, and enterprise architects.
  • Support effort estimation, technical feasibility assessments, and delivery planning.
  • Communicate architectural decisions, risks, and recommendations clearly to technical and non-technical stakeholders.

Mandatory Technical Skills

Candidates must demonstrate strong practical experience in:

  • Microsoft Power Apps – Canvas Apps.
  • Microsoft Power Apps – Model-Driven Apps.
  • Microsoft Power Automate cloud flows.
  • Microsoft Dataverse architecture and data modeling.
  • Power Fx and application logic.
  • AI Builder and its integration with Power Platform.
  • SQL Server, relational data modeling, and query optimization.
  • Power Platform solutions, ALM, and environment management.
  • Security, access control, integrations, troubleshooting, and performance optimization.
  • End-to-end solution architecture and hands-on implementation.

Good-to-Have Skills

  • Microsoft Copilot Studio and AI agent development.
  • Azure services, Azure Functions, and Azure Logic Apps.
  • REST APIs, custom connectors, and Microsoft Graph API.
  • Power Platform CLI and PowerShell.
  • Azure DevOps or GitHub-based CI/CD.
  • Power Pages and Power Apps Component Framework (PCF).
  • Generative AI, Azure AI Foundry, and enterprise AI integration patterns.
  • Enterprise Power Platform governance and Center of Excellence practices.

Experience and Qualifications

  • 8–12 years of overall software development or solution delivery experience preferred.
  • Strong experience designing and implementing enterprise Power Platform solutions.
  • Proven experience across Canvas Apps, Model-Driven Apps, Power Automate, and Dataverse.
  • Practical experience integrating SQL Server and implementing AI Builder use cases.
  • Demonstrated ability to make architecture decisions and implement them hands-on.
  • Experience leading technical teams, conducting design reviews, and mentoring developers.
  • Strong communication, problem-solving, and stakeholder-management skills.

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