About Sonata Software

Sonata Software, with over $1.2 Billion Revenue, is a leading AI-first Modernization Engineering company, powered by our unique Platformation TM framework. Our 6400+ AI Engineers are helping enterprises transform from systems to intelligent business platforms leveraging partner ecosystem to drive speed, efficiency and growth. Our bouquet of Modernization Engineering Services with AI -first approach cuts across Cloud, Data, AI, Dynamics, Test Automation, and Managed Services.

Sonatas AI-led modernization is enabled by a powerful suite of proprietary tools and assets. At the core is the Harmoni.AI Enterprise Platform, which includes Agent Bridge -a governance and observability framework; Agent Builder -a development toolkit for fungible agents integrated into enterprise systems; and the Agent Marketplace -an internal ecosystem for modular, reusable agents.

Headquartered in Bengaluru, India, Sonata Software has a solid global presence, including key regions US, UK, India, Malaysia, Mexico, Australia, DACH (Germany/Switzerland) Nordics (Finland). We are a trusted partner of Fortune 500 companies in Banking, Financial Services and Insurance; Healthcare and Lifesciences; Telecom, Media, and Technology; and Retail, Manufacturing and Distribution space. Job Description for Data Analyst

We are seeking a Support Engineer to provide operational support forAzure Data, Analytics, Reporting, and AI solutions. The role isresponsible for ensuring platform reliability, resolving incidents,monitoring data quality, supporting business users, and drivingcontinuous service improvements across Azure Data Factory, MicrosoftFabric, Power BI, Databricks, and AI-enabled solutions.

Exp:2-4 yearsLocation :



Hyderabad/BangaloreImmediate-15 days only

Key Responsibilities

Incident Problem Management

- Monitor and resolve incidents related to data pipelines, reporting solutions, and analytics platforms.

- Investigate data discrepancies, KPI mismatches, refresh failures, and processing issues.

- Perform Root Cause Analysis (RCA) and implement preventive measures.

- Manage escalations and coordinate with engineering teams for issue resolution.

- Track incidents, service requests, and problem records through ticketing systems.

Data Platform Support

- Support Azure Data Factory, Microsoft Fabric, Azure Synapse, Databricks, SQL, and Data Lake workloads.

- Monitor ETL/ELT pipeline executions and data integration processes.

- Troubleshoot data ingestion, transformation, and data movement failures.

- Validate data availability, completeness, and accuracy across platforms.

Reporting Analytics Support

- Support Power BI dashboards, reports, semantic models, and scheduled refreshes.

- Investigate reporting issues and validate business metrics and KPIs.

- Assist users with report access, data interpretation, and usage issues.

- Ensure reporting solutions meet SLA and business requirements.

Data Quality Monitoring

- Perform proactive data quality checks and anomaly detection.

- Monitor data freshness, completeness, and consistency.





- Support implementation of data governance and quality controls.

- Create operational dashboards and health monitoring reports.

Security Access Management

- Manage user access requests and security permissions.

- Support Row-Level Security (RLS) and workspace access controls.

- Ensure compliance with security and governance policies.

- Coordinate with security teams for audits and compliance requirements.

AI-Powered Operations

- Utilize AI-powered SRE agents for proactive monitoring and incident detection.

- Support automated alerting, issue triaging, and stakeholder communications.

- Leverage AI tools to accelerate RCA, troubleshooting, and operational reporting.

- Contribute to continuous improvement through automation and intelligent monitoring solutions.

Stakeholder User Support

- Provide Tier-2/Tier-3 support to business users and leadership teams.

- Communicate incident status, impact assessments, and resolution timelines.

- Maintain knowledge repositories, support documentation, and runbooks.

- Collaborate with Data Engineers, TPMs, Architects, and Reporting teams.

Required Skills

- Azure Data Factory (ADF)

- Microsoft Fabric

- Power BI

- Azure Synapse Analytics

- SQL

- Azure Data Lake Storage (ADLS)

- Incident Management RCA

- Data Validation Quality Analysis

- Monitoring Alerting Tools

- Azure DevOps / ServiceNow

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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