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    Data Solution Architect - Belfast, United Kingdom - Version 1

    Version 1
    Version 1 Belfast, United Kingdom

    1 week ago

    Default job background
    Full time
    Description

    Job Description

    As a Data Solution Architect you will be expected to take an architecture lead role on our client's solution delivery engagements, with high levels of customer engagement. This will involve ongoing analysis of business requirements throughout the lifetime of the service. Candidates will have a strong understanding of data architecture and analytics design and project delivery life-cycles with an emphasis of working in client facing environments.

    Typically the role will involve the following:

  • Translating Business requirements to technical solutions and the production of specifications,
  • Designing and implementing business intelligence & modern data analytics platform technical solutions,
  • Data architecture design and implementation and data modelling,
  • ETL, data integration and data migration design and implementation,
  • Master data management system and process design and implementation,
  • Data quality system and process design and implementation,
  • Major focus on data science, data visualisation, AI, ML,
  • Documentation of solution (e.g. data modelling, configuration, and setup etc.) including HLD and LLD,
  • Working within a project management/agile delivery methodology,
  • Managing technical delivery of solution.

    • Qualifications

  • Hands on experience with data solution architecture, design, rollout and technical leadership,
  • Hands on experience with business intelligence and analytics tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure,
  • Cloud experience in AWS or Azure with Databricks experience is desirable.
  • Experience and demonstrated competencies with multi-dimensional design, star schemas, facts and dimensions.
  • Experience and demonstrated competencies in ETL development techniques ,
  • Experience in data warehouse performance optimization.
  • Experience on projects across a variety of industry sectors an advantage,
  • Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching,
  • Good knowledge of Databricks, Snowflake, Azure / AWS / Oracle cloud, R, Python.
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