Azure Data Architect
New
E
ExavaluData architecture
United StatesFull-Time
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLMicrosoft AzureData modelingDatabricksPySpark
Requirements
- Have proven experience as a Data Architect or Azure Data Architect.
- Bring strong hands-on experience with Microsoft Azure data services.
- Have expertise in Azure Data Factory, ADLS Gen2, Azure Synapse, Databricks, and SQL.
- Know Data Lake, Data Warehouse, Lakehouse, ETL/ELT, and data modeling.
- Have experience with Python, PySpark/Spark, and large-scale data processing.
- Understand data integration, APIs, and batch and real-time data pipelines.
- Have experience with data governance, security, quality, metadata, and lineage.
- Have experience with Microsoft Fabric, Azure Purview, Power BI, Kafka, or Event Hubs.
- Have experience with cloud migration and legacy data modernization.
- Know DevOps, CI/CD, Infrastructure as Code, and automated deployment.
- Have experience in Insurance or Financial Services.
- Hold relevant Azure Data Architect or Data Engineering certifications.
Responsibilities
- Define enterprise data architecture, technology strategy, standards, and roadmaps.
- Design scalable Azure-based Data Lake, Data Warehouse, and Lakehouse solutions.
- Lead data modernization and migration initiatives from on-premise environments 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, guide architecture decisions, and ensure adherence to enterprise standards.
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