Azure Data Services Lead Architect

Team Consulting International Limited
11 Nov 2017
16 Nov 2017
Contract Type
Full Time

Azure Data Services Lead Architect

Role responsibilities

You will provide end-to-end technical guidance and expertise on the Microsoft Azure Data Services Platform in order to drive the NGBI technology vision, strategy and architecture.

This will include:

  • Defining /confirming the NGBI Architecture and developing a High-Level Design.
  • Collaborating with Lead Architects from other AW Programmes of Work
  • Drafting Methodology, Standards and Policies pertaining the NGBI Capabilities

Must Have

  • Deep understanding of data platform technologies, upgrading to modern SQL Server releases, migrating databases to SQL Server, Microsoft BI technologies, and emerging computing trends.
  • Deep technical experience in one or more of the following areas: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Machine Learning, Data Governance, No-SQL databases, Advanced Analytics
  • 5+ years of architecture, design, implementation, and/or support of complex application architectures (i.e. having an architectural sense for connecting data sources, data visualisation, structured and unstructured data, etc.), consultative/complex technical consulting and deployment projects (where necessary, managing various stakeholder relationships to get consensus on solution/projects)

Good to have

  • In-depth experience of Azure data and analytics services, including Azure Data Lake, Azure Data Lake Analytics, Azure Analysis Services, Power BI, Cosmos DB, Azure Data Warehouse, HD Insight, Machine Learning, Stream Analytics, Data Factory, Event Hubs and Notification Hubs.
  • Experience designing, coordinating and executing pilots, prototypes or proof of concepts, provide validation of technical feasibility on specific scenarios Big Data storage, processing and consumption (e.g., development of enterprise Data Lake strategy, heterogeneous data management, Polyglot Persistence, decision support/BI over Data Lake)

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