Azure Cloud Data Solution Architect

3 weeks ago

London, United Kingdom Energy Jobline ZR Full time

Job Description

Role : Azure Cloud Data Solution Architect

Location : London , UK(2days/week office).

Job type: Contract/Permanent

SC clearance required

Job Description:

Architecture of solutions

  • Architecting Enterprise Data Platform on Cloud particularly on Azure to support regulatory financial institution
  • Designing Functional Architectures for Service Quality
  • Designing and maintaining Non-Functional Requirements, e.g., Capacity planning, availability, performance, housekeeping, monitoring and foundational capabilities of the Enterprise Data Platform

  • Designing the application solution delivery and good understanding of Cloud Infrastructure solutions

    • Leading technical teams as appropriate in data and analytics delivery implementation and support
    • Performing technical assessment and evaluation of Cloud Services and other Cloud SaaS/IaaS/PaaS solutions
    • Liaising with 3rd party product providers to understand future enhancements, product roadmaps, new developments and communicate as required to business, user, and IT Stakeholders

  • Documenting solution architecture

    • Cloud Data Platform capabilities, Use Cases, Applications, including integrations
    • Collaborate with Cloud Security and Cloud Infrastructure offices
    • Maintaining documentation

  • Other Solution Architect activities

    • Assist in deploying data solutions and applications.
    • Assist in second line support problem determination and resolution of solution issues
    • Assist in designing, developing and implementing Enterprise Data Platform enhancements to agreed standards utilising standard processes and procedures.
    • Assist in generating the required documentation to deliver change control
    • Assist in supporting Data Analytics development and production teams
    • Assist in supporting the Data and Analytics team to resolve incidents
    • Assist in analyzing and recommending service quality improvement activities
    • Provide architectural oversight and support for the data solution and infrastructure environment

    Required knowledge and experience

    • 10-15 years of experience in Cloud Data Warehouse, Data Lake, Hyperscalers specially Microsoft Azure technologies across the Data Lifecycle.
    • Have experience in architecting and solutioning Azure based projects.
    • Hands on knowledge in ADF, Databricks, PowerBI
    • Experience in various Azure services across Data Ingestion, Data Modelling, Data Governance, Data Quality, Reporting and Visualization and Analytics capabilities.
    • Experience in setting up Foundational and Advanced Capabilities of Azure Cloud Data Platform
    • Relevant technical experience managing, developing and upgrading applications, within application/solution design
    • Strong understanding of data modeling techniques in Relational, Document, Graph, and BigData platforms servicing OLTP, OLAP and mixed model architectures
    • Excellent documentation skills and ability to complete high quality architecture artefacts in a timely fashion to meet project timelines for governance gates.
    • Experience of end-to-end data solution architecture/design methods and patterns for example design in areas such as data sourcing, data warehousing, data lakes, ELT/ELT, streaming, data delivery, data visualization
    • Experience in application integration using services-oriented and/or middleware approaches
    • Strong customer service ethos, recognising the importance of customer needs and business value at stake in delivering services, thereby enhancing the perception of the organization
    • Have excellent leadership, communication (written and oral) and interpersonal skills
    • Have experience in leading projects relating to system integration, data migration, data warehousing experience with cloud-based data platforms; experience driving technical workshops with technical and business clients to derive value added services and implementations
    • Hands-on working knowledge of topics such as solutions (for example: data lakes, data meshes, data platforms, data streaming solutions
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