Azure Data Architect

🕒 September 11

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Exavalu

201 - 500 employees

Founded 2018

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.

📋 Description

• Define enterprise data architecture, technology strategy, standards, and roadmap • Design scalable Azure-based Data Lake, Data Warehouse, and Lakehouse solutions • Lead data modernization and migration initiatives from on-premise to Azure • Design data integration, ingestion, transformation, and processing architectures • Provide technical leadership across Azure Data Factory, Databricks, Synapse, ADLS, and Microsoft Fabric • Define data modeling, ETL/ELT, data pipeline, and integration patterns • Establish data governance, security, quality, metadata, and lineage frameworks • Evaluate architecture options for scalability, performance, reliability, and cost optimization • Collaborate with data engineers, analysts, developers, QA teams, and business stakeholders • Review technical designs, provide architectural guidance, and ensure adherence to enterprise standards • Identify technical risks and dependencies and recommend appropriate architecture and mitigation strategies

🎯 Requirements

• Proven experience as a Data Architect / Azure Data Architect • Strong hands-on experience with Microsoft Azure data services • Expertise in Azure Data Factory, ADLS Gen2, Azure Synapse, Databricks, and SQL • Strong knowledge of Data Lake, Data Warehouse, Lakehouse, ETL/ELT, and Data Modeling • Experience with Python, PySpark/Spark, and large-scale data processing • Strong understanding of data integration, APIs, batch and real-time data pipelines • Experience with data governance, security, quality, metadata, and lineage • Strong architecture, problem-solving, stakeholder management, and communication skills • Experience with Microsoft Fabric, Azure Purview, Power BI, Kafka, or Event Hubs • Experience with cloud migration and legacy data modernization • Knowledge of DevOps, CI/CD, Infrastructure as Code, and automated deployment • Experience in Insurance or Financial Services • Relevant Azure Data Architect/Data Engineering certifications

🏖️ Benefits

• Flexible work arrangements, including part-time work, working outside normal 9-5 business hours, or working remotely • Welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons • Inclusive and diverse workplace culture • Career growth opportunities

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