Data Platform Architect (Microsoft Fabric) Data Platform Architect (Microsoft Fabric)1 Data Platform Architect (Microsoft Fabric) Experience: 10 years overall, with 2–3 years hands-on experience in Microsoft Fabric (project experience required) Role Type: Contractor Location: Pune ## Role Overview We are looking for an experienced Data Platform Architect to design and implement a scalable, end-to-end data platform using Microsoft Fabric**. The role spans architecture, data engineering, modelling, analytics enablement, and integration with advanced data practices such as Medallion Architecture and AI/ML readiness. ## Key Responsibilities ### 1) Architecture &

- Design - Define end-to-end architecture for a unified data platform using Microsoft Fabric.
- Design scalable, secure, and high-performance solutions.
- Establish integration strategies across enterprise systems (ERP, CRM, SaaS).
- Enforce data governance, security, and compliance standards.
- Implement Medallion Architecture (Bronze, Silver, Gold layers) for structured data transformation and quality. ### 2) Data Engineering &
- Integration - Build data pipelines using Data Factory and Dataflow Gen2.
- Develop ETL/ELT processes (incremental and full loads).
- Integrate and transform data into Lakehouse/Data Warehouse.
- Architect pipelines supporting both batch and real-time processing.
- Apply DataOps practices and CI/CD for pipeline automation. ### 3) Data Modelling - Design star and snowflake schemas.
- Define data standards, naming conventions, and best practices.
- Ensure data quality, consistency, and integrity.
- Apply dimensional (Kimball) and Lakehouse modelling techniques. ### 4) Analytics &
- Semantic Layer - Develop semantic models (Power BI datasets).
- Optimize models for reporting and analytics.
- Support basic reporting and visualization needs.
- Enable self-service BI through well-structured semantic layers. ### 5) Performance Optimization - Tune pipelines, storage,



and query performance.
- Apply partitioning, indexing, and cost optimization strategies.
- Handle large-scale datasets (billions of records) efficiently. ### 6) Collaboration &
- Leadership - Translate business requirements into technical solutions.
- Guide data engineers and BI developers.
- Align architecture, engineering, and analytics teams.
- Mentor teams and enforce best practices, coding standards, and design patterns. ### 7) Advanced Capabilities - Establish metadata management, lineage tracking, and cataloging frameworks.
- Provide architectural guidance for AI/ML integration (feature stores, model pipelines).
- Ensure compliance with regulatory standards (GDPR, HIPAA, etc.). ## Required Skills - 10 years in data/solution architecture.
- 2–3 years of hands-on Microsoft Fabric experience (must have delivered Fabric projects).
- Expertise in Lakehouse, Data Warehouse, Data Factory, Dataflow Gen2.
- Robust SQL and ETL/ELT development skills.
- Data modelling expertise (star/snowflake schemas, Data Vault, Medallion).
- Experience with large-scale data and performance tuning.
- Knowledge of Power BI (datasets, relationships, basic reporting).
- Understanding of data governance, security, and quality.
- Strong knowledge of Spark/PySpark for distributed data processing.
- Experience with CI/CD and DataOps in data engineering. ## Good to Have - Broader Azure ecosystem (ADF, Synapse, ADLS).
- Python / Spark / PySpark advanced use cases.
- ERP/CRM integrations.
- Power BI performance optimization.
- Familiarity with open table formats (Delta Lake, Parquet).
- Awareness of integrating ML workflows with Fabric. ## Success Criteria - Scalable and well-architected Fabric platform.
- Reliable and efficient data pipelines (batch real-time).
- High-quality, structured data models with Medallion layering.
- Seamless data integration across enterprise systems.
- AI/ML-ready datasets and workflows.
- Fast and optimized reporting with self-service BI enablement.

Experience Level Senior Level

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