{"id":2989914,"url":"https://alion.io/job/exl-cloud-architect-architecture-cloud-architecture","title":"Cloud - Architect-Architecture-Cloud Architecture","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":81,"open_postings":69,"ghost_share":0,"stale_share":0.971,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-21T05:46:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, 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2","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2025-10-22T13:52:18Z","employer_posted_date":"2025-10-22","last_verified_at":"2026-10-21T19:33:11Z","board_verified":true,"closed_at":null,"days_open":364,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":364},"description":"Job Title: Fabric Architect\nEXL 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.\nResponsibilities:\nDefine and implement end-to-end data fabric architecture using Microsoft Fabric components (Data Factory, Synapse, Power BI, OneLake, Lakehouse).\nDesign data ingestion, transformation, and orchestration frameworks supporting both batch and real-time data integration.\nDevelop metadata-driven ingestion, audit, balance, and control frameworks to ensure data consistency and traceability.\nArchitect semantic data models and analytical layers for enterprise-wide KPIs, reporting, and AI enablement.\nCreate data modeling standards and blueprints for dimensional, logical, and physical models (Star/Snowflake schemas).\nLead design and implementation of data pipelines and integration patterns using Python, SQL, Spark, and Fabric Data Factory.\nOversee data ingestion from structured, semi-structured, and unstructured sources into the Fabric Lakehouse or Warehouse.\nEnsure data quality, lineage, and metadata management across all data domains.\nIntegrate Fabric platform with Azure and other cloud ecosystems for unified data access\nDefine and implement data governance policies, metadata management, and cataloging using Microsoft Purview or Fabric-native capabilities.\nEnsure compliance with enterprise and regulatory standards (GDPR, HIPAA, SOC2, etc.).\nImplement row-level and column-level security, encryption, and access control frameworks.\nEstablish data lifecycle management and retention strategies\nCollaborate with business and analytics teams to define KPIs, semantic models, and reporting frameworks.\nEnable self-service analytics through well-structured Power BI datasets and data marts.\nOptimize query performance, data partitioning, and model efficiency for large-scale analytics\nLead and mentor technical teams on Fabric best practices, design patterns, and reusable components.\nRequired Qualifications:\n10-12 years of overall experience in data architecting, design, and development of data warehouse systems (Cloud/on premises and Analytics) at enterprise scale.\n·Must have implemented end to end platform modernization projects.\n· Strong experience with Microsoft Fabric, Azure Synapse, Databricks or similar modern data platforms.\n· Proven expertise in data modeling (ER/Studio, ERWin, dbt, Power BI Semantic Models), data integration, and data governance frameworks.\n· Good knowledge of Azure DevOps, GitHub Actions, CI/CD Pipelines\n· Strong collaboration, communication, and leadership skills in cross-functional environments.\n· 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.\n· Must have at least 5+ experience in managing technical team and leading them to deliver large scale solutions.\n· 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\n· Must have strong experience in Performance Tuning / Optimization Initiatives using DB Profiler tools\n· 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.\n· Experience in a variety of business verticals with preference to Insurance and banking.\n· Ability to act independently to resolve issues, excellent communication (English) and interpersonal skills, strong critical analytic thinking.\n· Ability to manage team a through the entire development life cycle and to manage time effectively.\n Responsibilities:\nDefine and implement end-to-end data fabric architecture using Microsoft Fabric components (Data Factory, Synapse, Power BI, OneLake, Lakehouse).\nDesign data ingestion, transformation, and orchestration frameworks supporting both batch and real-time data integration.\nDevelop metadata-driven ingestion, audit, balance, and control frameworks to ensure data consistency and traceability.\nArchitect semantic data models and analytical layers for enterprise-wide KPIs, reporting, and AI enablement.\nCreate data modeling standards and blueprints for dimensional, logical, and physical models (Star/Snowflake schemas).\nLead design and implementation of data pipelines and integration patterns using Python, SQL, Spark, and Fabric Data Factory.\nOversee data ingestion from structured, semi-structured, and unstructured sources into the Fabric Lakehouse or Warehouse.\nEnsure data quality, lineage, and metadata management across all data domains.\nIntegrate Fabric platform with Azure and other cloud ecosystems for unified data access\nDefine and implement data governance policies, metadata management, and cataloging using Microsoft Purview or Fabric-native capabilities.\nEnsure compliance with enterprise and regulatory standards (GDPR, HIPAA, SOC2, etc.).\nImplement row-level and column-level security, encryption, and access control frameworks.\nEstablish data lifecycle management and retention strategies\nCollaborate with business and analytics teams to define KPIs, semantic models, and reporting frameworks.\nEnable self-service analytics through well-structured Power BI datasets and data marts.\nOptimize query performance, data partitioning, and model efficiency for large-scale analytics\nLead and mentor technical teams on Fabric best practices, design patterns, and reusable components.\n 10-12 years of overall experience in data architecting, design, and development of data warehouse systems (Cloud/on premises and Analytics) at enterprise scale.\n· Must have implemented end to end platform modernization projects.\n· Strong experience with Microsoft Fabric, Azure Synapse, Databricks or similar modern data platforms.\n· Proven expertise in data modeling (ER/Studio, ERWin, dbt, Power BI Semantic Models), data integration, and data governance frameworks.\n· Good knowledge of Azure DevOps, GitHub Actions, CI/CD 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