EazyML, recognized by Gartner, EazyML (www.EazyML.com) specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation, and the company is associated with breakthrough startups like Amelia.ai.

This is a full-time Remote role for an experienced Senior Platform Architect — Microsoft Fabric who enjoys solving complex data problems and takes ownership from design through delivery. You can work from home (anywhere in INDIA, job location is in India).

Experience Level: Senior (8+ years overall, 2+ years hands-on with Microsoft Fabric) DO NOT APPLY IF YOU DON'T HAVE AT LEAST 5+ YEARS OF EXPERIENCE. THIS IS A SENIOR POSITION

This role is ideal for someone who can build scalable data pipelines on Microsoft Azure Fabric , leverage AI to improve engineering productivity, and work closely with business and technical stakeholders.

About the Role

We're looking for a Senior Platform Architect with strong DevOps expertise to design, implement, and operationalize our Microsoft Fabric data platform. You'll own the architecture of our unified data estate — spanning OneLake, Data Factory pipelines, Synapse Data Engineering, Power BI, and Real-Time Analytics — while building the CI/CD, governance, and automation backbone that lets our data teams ship reliably and securely. This is a hands-on architecture role: you'll set technical direction and also build it yourself.

What You'll Do

- Design and own the end-to-end architecture for Microsoft Fabric, including OneLake data lake structure, workspace and capacity strategy, domain/workspace segregation, and medallion (bronze/silver/gold) layering.
- Define and implement DevOps practices for Fabric: Git integration, deployment pipelines, environment promotion (dev/test/prod), and infrastructure-as-code for Fabric items (lakehouses, warehouses,



notebooks, pipelines, semantic models).
- Build and maintain CI/CD pipelines (Azure DevOps or GitHub Actions) for Fabric artifacts, including automated testing, validation, and rollback strategies.
- Architect and enforce governance, security, and access controls across Fabric — workspace roles, OneLake data access policies, sensitivity labels, row-level security, and integration with Microsoft Purview.
- Design capacity planning and cost optimization strategies for Fabric capacity units (CUs), monitoring consumption and tuning workloads to control spend.
- Partner with data engineers, analysts, and platform teams to standardize development patterns, reusable templates, and best practices across Fabric workloads (Data Factory, Data Engineering/Spark, Data Warehouse, Real-Time Intelligence, Power BI).
- Own monitoring, alerting, and observability for the platform using Fabric monitoring hub, Azure Monitor, and Log Analytics.
- Lead migration efforts from legacy platforms (Synapse Analytics, Azure Data Factory, on-prem SSIS/SQL Server, or other cloud data warehouses) onto Microsoft Fabric.
- Mentor engineering teams on Fabric architecture patterns, DevOps practices, and operational excellence.
- Act as the primary technical escalation point for platform reliability, performance, and incident response.

What You Bring

- 8+ years of experience in data platform architecture, cloud infrastructure,



or DevOps engineering roles.
- 2+ years of hands-on experience with Microsoft Fabric, or deep equivalent experience with Azure Synapse Analytics, Power BI, and Azure Data Factory with a transparent path to Fabric.
- Strong command of OneLake, Lakehouse and Warehouse architecture, Delta Lake/Parquet formats, and medallion architecture design.
- Proven DevOps expertise: Git-based version control, CI/CD pipeline design (Azure DevOps or GitHub Actions), and infrastructure-as-code (Bicep, Terraform, or ARM templates) for Azure/Fabric resources.
- Solid understanding of Fabric security model — workspace roles, item-level permissions, OneLake data access roles, sensitivity labels, and integration with Microsoft Entra ID (Azure AD) and Purview.
- Experience with Fabric capacity management, performance tuning, and cost governance (CU monitoring, throttling, smoothing).
- Hands-on skills in at least one of: PySpark/Spark SQL, T-SQL, Python, or KQL for pipeline and query development.
- Experience integrating Fabric with external tools — APIs, Power Automate, Azure Functions, or third-party data sources.
- Strong communication skills with the ability to translate architecture decisions for both technical teams and business stakeholders.
- Prior experience leading platform migrations to modern data platforms is a strong plus.

Nice to Have

- Microsoft certifications: DP-600 (Fabric Analytics Engineer), DP-203 (Azure Data Engineer), or Azure Solutions Architect Expert.
- Experience with Power BI semantic model optimization and DirectLake mode.
- Familiarity with data mesh or domain-driven data architecture principles.
- Background in regulated industries requiring strict data governance (finance, healthcare, etc.).

📌 Senior Platform Architect - Microsoft Fabric (Immediate Joiner) (India)
🏢 EazyML
📍 India