Exavalu
Digital Transformation Consulting
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This is a remote position.
Design and implement modern data platform solutions using Azure services including Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks.
Define data architecture frameworks, standards, and principles.
Lead data modernization and cloud migration initiatives.
Build secure and scalable data pipelines to ingest, transform, and store large datasets.
Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and provide architectural guidance.
Optimize performance, security, and cost of data platforms.
Evaluate and recommend new Azure services and tools based on evolving project needs.
Ensure data governance, data quality, and compliance standards are met.
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
7+ years of experience in data architecture or data engineering roles.
3+ years of hands-on experience with Azure data services.
Strong knowledge of relational and non-relational databases (SQL Server, Cosmos DB, etc.).
Proficiency with data modeling, data warehousing, and ETL processes.
Familiarity with big data and analytics tools like Databricks, Spark, and Synapse.
Experience with scripting and programming languages (Python, SQL, PowerShell).
Excellent understanding of security, identity, and governance in Azure.
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