Data Architect (Microsoft Fabrics)

Role & Responsibilities

Were looking for an experienced Data Architect to lead enterprise-scale data modernization initiatives leveraging Microsoft Fabric. In this role, you will define the target-state architecture, implement Medallion (Bronze/Silver/Gold) architecture within Fabric Lakehouse, and establish enterprise data governance frameworks. You will also build GenAI-ready data platforms that enable advanced analytics, machine learning, and secure enterprise-wide data access.

Responsibilities:

• Lead enterprise-scale implementation of modern data platforms using Microsoft Fabric
• Design and implement Medallion architecture (Bronze/Silver/Gold)
• Architect scalable Lakehouse, Data Warehouse, and Real-Time Analytics solutions
• Define data modeling standards (Dimensional, Data Vault)
• Establish data governance frameworks including cataloging and lineage
• Build CI/CD pipelines for data platforms
• Design AI/ML and Generative AI-ready architectures
• Build ingestion pipelines (batch, streaming, CDC)
• Enable real-time data processing
• Develop target-state architecture and standards
• Collaborate with cross-functional teams
• Act as a trusted advisor to clients

Ideal Candidate

• Strong Microsoft Fabric / Azure Data Architect profile
• Mandatory (Experience 1) Must have 8+ years of experience in Data Architecture / Data Engineering, with strong exposure to enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) Must have 3+ years of deep hands-on experience in Microsoft Fabric ecosystem including Fabric Lakehouse, OneLake, and Data Factory, with large-scale implementations
• Mandatory (Experience 3) Strong expertise in designing and implementing Medallion (Bronze/Silver/Gold) architecture and scalable lakehouse platforms supporting batch and real-time workloads
• Mandatory (Experience 4) Strong experience in Azure data ecosystem including Azure Data Factory, Azure Synapse, ADLS, and Power BI, with good understanding of cloud-native data architectures
• Mandatory (Experience 5) Proven experience designing scalable data models including Dimensional Modelling (Star/Snowflake) and/or Data Vault for enterprise data warehouses
• Mandatory (Experience 6) Must have hands-on experience building ingestion pipelines including batch, streaming, and CDC pipelines using tools like Spark, Kafka, or Fabric pipelines
• Mandatory (Experience 7) Strong experience in implementing data governance frameworks including data cataloging, lineage, metadata management, and security controls
• Mandatory (Skill 1) Proven experience in building CI/CD pipelines for data platforms using Azure DevOps / Git, including automated deployment and environment management
• Mandatory (Skill 2) Hands-on experience designing AI/ML-ready data platforms, enabling advanced analytics, machine learning, and Generative AI use cases
• Mandatory (Skill 3) Experience with orchestration and workflow tools, and integrating data platforms with BI tools like Power BI for enterprise reporting
• Mandatory (Note) Only immediate joiners (within 15 days) will be considered
• Preferred (Certification) Microsoft Fabric / Azure certifications; exposure to MDM, data quality frameworks, and enterprise metadata tools