Data Architect – Microsoft Fabric, Azure Data Platform

Job not on LinkedIn

🔥 19 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 $2M Venture Round on 2015-01

Healthcare • Insurance • Logistics

EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data.

📋 Description

• Define and drive enterprise data architecture strategies aligned with business objectives and technology roadmaps • Design scalable, secure, and high-performance data platforms using Microsoft Fabric, Azure, and Databricks • Establish architecture standards, reusable design patterns, and governance frameworks • Lead cloud data modernization and migration initiatives from legacy platforms to cloud-native architectures • Create architecture blueprints, reference architectures, and implementation roadmaps • Architect and implement Microsoft Fabric Lakehouse, Fabric Data Warehouse, Data Pipelines, Real-Time Analytics, OneLake, and Power BI integrations • Design Medallion Architecture within Microsoft Fabric • Drive Fabric deployment strategies, performance optimization, and environment governance • Implement security, access controls, lineage, monitoring, and data lifecycle management • Design and implement Azure enterprise data solutions and ingestion, transformation, storage, and consumption frameworks • Drive cloud adoption and optimization initiatives • Architect and optimize Databricks Lakehouse solutions • Lead Apache Spark, PySpark, Delta Lake, Unity Catalog, Databricks Workflows, Auto Loader, and Delta Live Tables implementations • Design large-scale batch and real-time data pipelines • Optimize Spark processing, cluster utilization, and workload performance • Define data governance standards and implement metadata management, lineage, cataloging, and data quality frameworks • Partner with security teams on data privacy, compliance, and regulatory adherence • Enable business-friendly data discovery and self-service analytics • Collaborate with business leaders, product owners, engineering teams, and program stakeholders • Translate business requirements into scalable technical architectures • Lead architecture reviews, design workshops, and solution governance forums • Provide technical leadership and mentorship to data engineering teams

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field • Minimum 10 years of experience in Data Engineering, Data Architecture, or Data Platform leadership roles • Strong experience designing and architecting data solutions in cloud environments • Experience with Microsoft Fabric: Fabric Lakehouse, Data Warehouse, OneLake, Data Pipelines, Fabric Security & Governance, Real-Time Analytics, and Power BI Integration • Experience with Microsoft Azure: Azure Data Factory, Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Key Vault, Azure Functions, Azure Event Hub, and Azure DevOps • Experience with Azure Databricks, Delta Lake, Unity Catalog, Databricks Workflows, Delta Live Tables, and Auto Loader • Proficiency in Apache Spark, PySpark, SQL, Python, data modeling, and ETL/ELT design • Knowledge of Medallion Architecture, Lakehouse Architecture, data governance, metadata management, data lineage, data quality frameworks, and CI/CD & DevOps practices • Experience with Data Mesh is preferred • Insurance domain experience is highly desirable

🏖️ Benefits

• Work From Home / remote work arrangement