EazyML
Website:
eazyml.com
Job details:
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 clear 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.).
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