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Salary
≈ $32k – $55k per year (Estimated)
Location
Hybrid (Bengaluru, Pune, Hyderabad, India)
Seniority
Staff

First seen by Alion on Aug 22, 2026.

Overview
Company
Impact
Profile match
KPI Partners is a US based IT company that provides strategic guidance and technology systems for clients wishing to solve their most complex and interesting business challenges involving cloud applications and big data.

Role : Data Solutions Architect - Microsoft Fabric

Role Purpose :

Design and implement enterprise-scale data solutions on Microsoft Fabric, while leading modernization from legacy platforms such as Qlik, Gather, and other BI/data systems.

Key Responsibilities :

- Architect end-to-end data pipelines on Microsoft Fabric (ingestion, orchestration, governance, monitoring, consumption).

- Drive migration and modernization from legacy platforms (Qlik, Gather, etc.) into Fabric.

- Establish frameworks for data governance, lineage, compliance, and secure access.

- Optimize performance, scalability, and cost efficiency of Fabric-based solutions.

- Collaborate with stakeholders to align technical solutions with business needs.

- Stay updated on Microsoft Fabric advancements and industry best practices.

Skills & Experience :

- Strong expertise in Microsoft Fabric and Azure ecosystem (Data Lake, Synapse, Databricks, Power BI).

- Experience in legacy platform migration (Qlik, Gather, or similar).

- Knowledge of governance tools (Purview, metadata management).

- Proficiency in orchestration and CI/CD for data solutions.

- Excellent communication and stakeholder management skills.

Preferred :

- Microsoft certifications (Azure Data Engineer, Solutions Architect).

- Experience with Medallion architecture and streaming pipelines (Kafka, Event Hub, CDC).

- Background in telecom, finance, or large-scale enterprise environments.

Experience :

12 Yrs

Location :

Hybrid

Screening Question :

1. Are you ok with partially remote working?

Salary :

Hidden

Skills

Business Intelligence, Microsoft Fabric, Azure, Data Warehousing, Solution Architect, Data Pipeline, Data Ingestion, Solution Design, Solution Implementation, Data Governance, Legacy Modernization

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