Lead Data Architect (Fabric)

EazyML, (www.EazyML.com) recognized by Gartner, specializes in Responsible AI. Our solutions enable proactive compliance and sustainable automation for enterprises adopting AI at scale. We're also associated with breakthrough startups like Amelia.ai, giving our team exposure to cutting-edge AI products at enterprise scale.

About the Role

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 (10+ years overall, 2+ years hands-on with Microsoft Fabric) DO NOT APPLY IF YOU DON'T HAVE AT LEAST 8+ 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.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 10+ years of experience in Data Engineering, Data Warehousing, or Cloud Data Platform development.
• 4+ years of hands-on experience with Microsoft Azure Data Platform technologies.
• 2+ years of hands-on experience with Microsoft Fabric in enterprise implementations.
• Strong expertise in SQL, PySpark, Python, and Spark optimization.
• Experience with Microsoft Fabric components including OneLake, Lakehouse, Data Warehouse, Data Factory, Power BI, and Real-Time Intelligence.
• Experience with Azure Data Lake Storage (ADLS), Azure DevOps, GitHub, and CI/CD pipelines.
• Strong knowledge of dimensional data modeling, ETL/ELT architecture, and data governance.

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.
• 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).
• 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.

Roles & Responsibilities: Technical Leadership

• Lead the end-to-end implementation of Microsoft Fabric solutions across enterprise programs.
• Define technical architecture, engineering standards, and best practices for Microsoft Fabric adoption.
• Provide technical leadership to a team of data engineers and developers.
• Review solution designs, code, and deployment strategies to ensure quality and scalability.

Microsoft Fabric Architecture

• Design and implement enterprise data platforms using Microsoft Fabric components including OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Intelligence, Data Engineering, and Power BI.
• Architect scalable, cloud-native data solutions supporting analytics, AI, and business intelligence workloads.
• 3 + 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.

Data Engineering & Integration

• Design and develop robust ETL/ELT pipelines using Microsoft Fabric Data Factory and Spark Notebooks.
• Integrate structured, semi-structured, and unstructured data from cloud and on-premises systems.
• Implement data transformation, cleansing, validation, and orchestration processes.
• Optimize data ingestion strategies for performance and reliability.

Data Modeling & Analytics

• Design dimensional models, Lakehouse architectures, and enterprise data warehouses.
• Develop semantic models and datasets for Power BI reporting and self-service analytics.
• Collaborate with business teams to translate analytical requirements into scalable data solutions.

Performance Optimization

• Optimize Spark workloads, SQL Warehouse performance, and OneLake storage utilization.
• Implement partitioning, indexing, caching, and workload optimization strategies.
• Monitor platform performance and proactively resolve bottlenecks.

Security & Governance

• Implement enterprise security using Microsoft Entra ID, RBAC, and Fabric workspace security.
• Ensure adherence to enterprise security, privacy, and regulatory standards.

DevOps & Automation

• Implement CI/CD pipelines using Azure DevOps or GitHub.
• Automate deployment of Microsoft Fabric artifacts across Development, QA, UAT, and Production environments.
• Manage source control, release management, and deployment automation.

AI & Advanced Analytics

• Enable AI, Machine Learning, and Copilot capabilities within Microsoft Fabric.
• Support Data Science workloads using Spark, notebooks, and ML models.
• Collaborate with AI teams to operationalize predictive analytics and intelligent data solutions.

Production Support & Operations

• Lead production deployments and post-production support activities.
• Monitor platform health, troubleshoot incidents, and ensure SLA compliance.
• Implement disaster recovery, backup, and business continuity strategies.

Stakeholder Management

• Collaborate with enterprise architects, product owners, business stakeholders, and cross-functional teams.
• Participate in architecture review boards and technical governance meetings.
• Communicate technical solutions and project status to senior leadership.

Team Leadership & Mentoring

• Mentor junior and senior engineers on Microsoft Fabric technologies and engineering best practices.
• Conduct code reviews, design reviews, and technical knowledge-sharing sessions.
• Drive continuous improvement initiatives and foster engineering excellence.

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.
• Experience with Databricks, Synapse Analytics, Azure AI Services, or Microsoft Purview.
• Knowledge of Agile/Scrum delivery methodologies.
• Strong communication, stakeholder management, and problem-solving skills.