We're 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

- Must have 8+ years of experience in Data Architecture / Data Engineering, with strong exposure to enterprise-scale data platform modernization initiatives

- Must have 3+ years of deep hands-on experience in Microsoft Fabric ecosystem including Fabric Lakehouse, OneLake, and Data Factory, with large-scale implementations

- Strong expertise in designing and implementing Medallion (Bronze/Silver/Gold) architecture

and scalable lakehouse platforms supporting batch and real-time workloads

- Strong experience in Azure data ecosystem including Azure Data Factory, Azure Synapse, ADLS, and Power BI, with good understanding of cloud-native data architectures

- Proven experience designing scalable data models including Dimensional Modelling (Star/Snowflake) and/or Data Vault for enterprise data warehouses

- Must have hands-on experience building ingestion pipelines including batch, streaming, and CDC pipelines using tools like Spark, Kafka, or Fabric pipelines

- Strong experience in implementing data governance frameworks including data cataloging, lineage, metadata management, and security controls

- Proven experience in building CI/CD pipelines for data platforms using Azure DevOps / Git, including automated deployment and environment management

- Hands-on experience designing AI/ML-ready data platforms, enabling advanced analytics, machine learning, and Generative AI use cases

- 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