Data Architect
Absolute Recruitment Group
Wellington, NZ
6d ago

Data Architect

  • Own and deliver data management roadmaps that support business needs
  • Inclusive and collaborative team
  • Great staff benefits
  • About the role Duties

    Develop and implement date architecture initiatives and solutions to meet the organisations IT requirements

    Lead and implement the data management practice within the organisation

    Manage the analysis, development and implementation of technology data and data architecture frameworks to take advantage of advancing digital technologies with a focus on cloud technologies, data identification and management including data lakes, security and applications of data within the data science domain.

    Analyse, identify, and assesss relevant and applicable future data IT trends

    Build and manage data pipelines, from data sources or endpoints of acquisition

    Use innovative tools, techniques and architectures to automate data preparation and integration tools

    Work with business owners to refine their data requirements and consumption for data and analytics initiatives

    Skills and Experience

    Experience in performing analysis and design for data management and data driven projects

  • 8 + years experience designing and leading the conceptual, logical and physical design for distributed databases
  • An in depth understanding of Microsoft SQL Server
  • Proven experience with AWS Cloud Data technologies is essential
  • Experience in building and socialising current state to future state roadmaps for data management from in-house to cloud based services
  • Experience with Big Data management, visualisation and reporting tools, data profiling analysis and transformation would be advantageous
  • Understanding of areas such as Metadata Managment and Data Governance
  • Proven experience in Conceptual, Logical and Physical Database Architectures, design patterns, best practices and programming techniques around relational modelling, dimensional modelling and data integration
  • Benefits

  • Large pipeline of interesting work ahead
  • Great hard working, easy going team
  • Career development and work-life balance
  • Opportunity to significantly contribute to the team and organisations growth and success
  • How to apply

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