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  • Enterprise Data Hub (EDH) Architect
    New

    Enterprise Data Hub (EDH) Architect

    Type of work
    Freelance
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      Security

      advanced

      Spark

      advanced

      Hadoop

      advanced

      EDH Architecture

      advanced

      AWS/Azure/GCP

      advanced

      data governance

      advanced

      Data modeling

      advanced

      Kafka

      advanced

      SQL

      advanced

      NoSQL

      advanced

    Job description


     Dear Consultant,


    Our multinational client is seeking for an experienced Enterprise Data Hub (EDH) Architect to lead the design and implementation of a centralized data platform. This role is critical in integrating diverse data sources and enabling advanced analytics for a fast-paced [industry – e.g., telecom, finance, etc.] environment. send CV to (marcillina.tietjen@dcvtechnologies.co.uk) if you are interested.


    Engagement Tenure: 12 months

    Location: Remote (EU)

    Language: English

    Start Date: Immediate


    Key Responsibilities

    •  Architect & Design: Plan the EDH structure, including storage, security, and analytics layers for optimal performance.
    •  Data Integration: Develop seamless ingestion, processing, and accessibility pipelines for diverse data sources.
    •  Security & Governance: Implement policies and mechanisms to protect data and ensure regulatory compliance.
    •  Performance Optimization: Ensure the EDH handles large datasets efficiently and delivers fast query responses.
    •  Stakeholder Collaboration: Work closely with business users, data scientists, and IT teams to align data strategies with business goals.


    Required Skills & Experience

    • Proven experience in designing & implementing EDH architectures
    • Strong expertise in big data technologies (Hadoop, Spark, Kafka, etc.)
    • Cloud experience with Azure, AWS, or GCP for data solutions
    • Deep understanding of data governance, security, and compliance
    • Proficiency in SQL, NoSQL, and data modeling best practices
    • Experience in real-time and batch data processing pipelines
    Undisclosed Salary

    B2B

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