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    Azure Data Architect - Pune, India - ACZ Global Pvt Ltd

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    Description

    Role :
    Azure Data Architect


    Mandatory Skills :
    Solution Architecture - Pyspark + Databricks + Adf + Synapse is mandatory


    Job Description :
    We are seeking a highly skilled and experienced Azure Data Architect to join our team.

    As an Azure Data Architect, you will play a key role in designing and implementing data solutions on the Microsoft Azure platform.


    The ideal candidate will have a strong background in data architecture, a deep understanding of Azure data services, and the ability to develop scalable and efficient data solutions that meet business requirements.


    Responsibilities :

    Data Architecture and Design :

    • Lead the design and architecture of data solutions on the Microsoft Azure platform.
    • Define and implement data models, data flows, and data storage solutions based on business requirements.

    Azure Data Services :

    • Expertise in leveraging Azure data services such as Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks, and others to build comprehensive data solutions.
    • Design and implement data pipelines for data processing and transformation.

    Big Data and Analytics :

    • Architect and implement solutions for big data processing and analytics using Azure technologies.
    • Utilize tools like Azure HDInsight, Apache Spark, and Azure Data Factory for largescale data processing.

    Data Governance and Security :

    • Implement data governance practices and ensure compliance with security and privacy requirements.
    • Design and implement access controls, encryption, and auditing mechanisms for data protection.

    Data Integration and ETL :

    • Develop and implement efficient data integration and ETL processes.
    • Ensure seamless data flow between onpremises and cloudbased systems.

    Performance Optimization :

    • Optimize data solutions for performance, scalability, and cost efficiency.
    • Conduct performance tuning and implement best practices for data storage and retrieval.

    Collaboration and Communication :

    • Collaborate with crossfunctional teams, business stakeholders, and IT teams to understand data requirements and deliver effective solutions.
    • Provide guidance and support to data engineers and analysts.

    Documentation :

    • Create and maintain comprehensive documentation for data architectures, data models, and data processes.
    • Ensure documentation is kept uptodate with changes in the data environment.
    )

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