Role & Responsibilities
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
- 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
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon