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Job Info

• Job Identification5448
• Posting Date10/22/2025, 09:52 AM
• Job RoleArchitecture-Cloud Architecture
• Experience (In Years)9-12

Job Description

Job Title: Fabric Architect

EXL is looking for a Fabric Architect who is responsible for designing, implementing, and governing an enterprise-wide data fabric architecture leveraging Microsoft Fabric (or equivalent cloud data fabric solutions).This role focuses on building a unified, scalable, and secure data platform that integrates data ingestion, transformation, governance, analytics, and AI workloads across multiple business domains.

Responsibilities

• Define and implement end-to-end data fabric architecture using Microsoft Fabric components (Data Factory, Synapse, Power BI, OneLake, Lakehouse).

• Design data ingestion, transformation, and orchestration frameworks supporting both batch and real-time data integration.

• Develop metadata-driven ingestion, audit, balance, and control frameworks to ensure data consistency and traceability.

• Architect semantic data models and analytical layers for enterprise-wide KPIs, reporting, and AI enablement.

• Create data modeling standards and blueprints for dimensional, logical, and physical models (Star/Snowflake schemas).

• Lead design and implementation of data pipelines and integration patterns using Python, SQL, Spark, and Fabric Data Factory.

• Oversee data ingestion from structured, semi-structured, and unstructured sources into the Fabric Lakehouse or Warehouse.

• Ensure data quality, lineage, and metadata management across all data domains.

• Integrate Fabric platform with Azure and other cloud ecosystems for unified data access

• Define and implement data governance policies, metadata management, and cataloging using Microsoft Purview or Fabric-native capabilities.

• Ensure compliance with enterprise and regulatory standards (GDPR, HIPAA, SOC2, etc.).

• Implement row-level and column-level security, encryption, and access control frameworks.

• Establish data lifecycle management and retention strategies

• Collaborate with business and analytics teams to define KPIs, semantic models, and reporting frameworks.

• Enable self-service analytics through well-structured Power BI datasets and data marts.

• Optimize query performance, data partitioning, and model efficiency for large-scale analytics

• Lead and mentor technical teams on Fabric best practices, design patterns, and reusable components.

• Required Qualifications:

• 10-12 years of overall experience in data architecting, design, and development of data warehouse systems (Cloud/on premises and Analytics) at enterprise scale.

• ·Must have implemented end to end platform modernization projects.

• · Strong experience with Microsoft Fabric, Azure Synapse, Databricks or similar modern data platforms.

• · Proven expertise in data modeling (ER/Studio, ERWin, dbt, Power BI Semantic Models), data integration, and data governance frameworks.

• · Good knowledge of Azure DevOps, GitHub Actions, CI/CD Pipelines

• · Strong collaboration, communication, and leadership skills in cross-functional environments.

• · Must be hands on, deeply technical and exposure to latest features within data platform development, able to do both coding and guide group of junior/mid-level database engineers.

• · Must have at least 5+ experience in managing technical team and leading them to deliver large scale solutions.

• · Must have excellent communication skills (English) to interface with US clients directly and verify in proficient in all types of communication modes Listening, Reading, Writing and Speaking

• · Must have strong experience in Performance Tuning / Optimization Initiatives using DB Profiler tools

• · Must have strong experience in taking ownership in delivering other activities apart from Project deliverables like SoW writing, performance management, initiatives, offshore team management, recruitment etc.

• · Experience in a variety of business verticals with preference to Insurance and banking.

• · Ability to act independently to resolve issues, excellent communication (English) and interpersonal skills, strong critical analytic thinking.

• · Ability to manage team a through the entire development life cycle and to manage time effectively.

Responsibilities

Responsibilities

• Define and implement end-to-end data fabric architecture using Microsoft Fabric components (Data Factory, Synapse, Power BI, OneLake, Lakehouse).

• Design data ingestion, transformation, and orchestration frameworks supporting both batch and real-time data integration.

• Develop metadata-driven ingestion, audit, balance, and control frameworks to ensure data consistency and traceability.

• Architect semantic data models and analytical layers for enterprise-wide KPIs, reporting, and AI enablement.

• Create data modeling standards and blueprints for dimensional, logical, and physical models (Star/Snowflake schemas).

• Lead design and implementation of data pipelines and integration patterns using Python, SQL, Spark, and Fabric Data Factory.

• Oversee data ingestion from structured, semi-structured, and unstructured sources into the Fabric Lakehouse or Warehouse.

• Ensure data quality, lineage, and metadata management across all data domains.

• Integrate Fabric platform with Azure and other cloud ecosystems for unified data access

• Define and implement data governance policies, metadata management, and cataloging using Microsoft Purview or Fabric-native capabilities.

• Ensure compliance with enterprise and regulatory standards (GDPR, HIPAA, SOC2, etc.).

• Implement row-level and column-level security, encryption, and access control frameworks.

• Establish data lifecycle management and retention strategies

• Collaborate with business and analytics teams to define KPIs, semantic models, and reporting frameworks.

• Enable self-service analytics through well-structured Power BI datasets and data marts.

• Optimize query performance, data partitioning, and model efficiency for large-scale analytics

• Lead and mentor technical teams on Fabric best practices, design patterns, and reusable components.

Qualifications

• 10-12 years of overall experience in data architecting, design, and development of data warehouse systems (Cloud/on premises and Analytics) at enterprise scale.

• · Must have implemented end to end platform modernization projects.

• · Strong experience with Microsoft Fabric, Azure Synapse, Databricks or similar modern data platforms.

• · Proven expertise in data modeling (ER/Studio, ERWin, dbt, Power BI Semantic Models), data integration, and data governance frameworks.

• · Good knowledge of Azure DevOps, GitHub Actions, CI/CD Pipelines

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