Azure Data Architect (Remote)

Expert In Recruitment Solutions

  • Canonsburg, PA
  • 30+ days ago
  • Remote

    Highlights

    A comprehensive understanding of data warehousing and data transformation (extract, transform, and load) processes and the supporting technologies, such as Azure Data Factory, Data Lake, and other analytics products. Hands-on experience with data architecting, data mining, large-scale data modeling, business requirements gathering/analysis, entity relationship planning, database design, reporting structures, and so on.

    Numbers & Facts

    LocationCanonsburg, PA (
    Remote
    )

    Description

    Title- Azure Data Architect (Remote)
    Location: Remote (EST or CST time zone)
    Job Type: 9 Month Contract with extensions



    company has an immediate opening for Azure Data Architect.

    Experience Required:
    • Degree in computer science, information systems, or computer engineering.
    • 10+ years of work experience as a data or information architect.
    • Hands-on experience with data architecting, data mining, large-scale data modeling, business requirements gathering/analysis, entity relationship planning, database design, reporting structures, and so on.
    • Direct experience in implementing enterprise data management processes, procedures, and decision support.
    • Proven experience in architecting and implementing Business Intelligence and Data Warehouse platforms, Master Data Management, data integration, and OLTP database solutions.
    • A comprehensive understanding of data warehousing and data transformation (extract, transform, and load) processes and the supporting technologies, such as Azure Data Factory, Data Lake, and other analytics products
    • Strong understanding of AI foundational principles, governance, and how data needs to be ready for AI.
    • Strong understanding of relational data structures, theories, principles, and practices.
    • Strong familiarity with metadata management and associated processes, as well as managing data and metadata migration
    • Extensive hands-on experience with enterprise repository tools, data modeling, mapping, profiling, and repository creation, as well as data and information system life cycle methodologies.
    • Proven experience with data platforms and technologies.
    • Good knowledge of applicable data privacy practices and laws.
    • Experience working with Data in AI systems is a plus.
    • Certification in TOGAF is a plus.

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