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Cloud Data Architect – London

date March 25, 2020 position London rate 600-700

Cloud Data Architect – London – £650 – 3+ months

Job Specifics:

  • Design and develop best in class cloud-based data management solutions
  • Plan and execute secure, good-practice data integration strategies and approaches
  • Acquire, ingest, and process data from multiple sources and systems into data platforms
  • Create, deploy and manage data environments in the Cloud
  • Leverage information security principles to ensure compliant handling and management of data
  • Work with insights and analytical team members to understand data requirements
  • Provide leadership to data integration team members

Hands on solution development leveraging relevant data management and integration technologies

Experience

  • Ideally, 5+ years’ experience in client-facing data projects in a global consulting setting
  • OR 5+ years’ working in a solution design capacity on projects / solutions within Azure cloud
  • Hands on with legacy big data technologies such as Teradata, Netezza or Hadoop
  • Hands on with cloud data management technologies such as Snowflake or Azure
  • Experience designing cloud solutions incorporating Information Security principles and best practices to ensure designs are in accordance with regulatory data security and data governance guidelines
  • Experience working on projects in a consulting setting (or similar), working on multiple distinct projects at the same time
  • Experience managing teams of both onshore and offshore developers
  • Familiarity with architecture design patterns guiding operational management and development best practices
  • Comprehensive knowledge of full-lifecycle solution development and deployment best practices for the cloud

Technical Abilities:

  • Experience in migration from on-premises data warehouse (SQL Server, Teradata, etc. ) to cloud solutions (Azure and Snowflake preferred)
  • Experience with the full Azure, stack, particularly around Storage, Compute, ETL, Orchestration and Scheduling
  • Strong understanding of data governance principles including, but not limited to Master Data Management, Data Lineage and Data Security
  • Strong experience working with a variety of ETL/ELT tools
  • Strong development background with experience in at least two scripting, object oriented or functional programming language, etc. SQL, Python, Java, Scala, C#, R
  • Data Warehousing experience, building operational ETL/ELT data pipelines across a number of sources, and constructing relational and dimensional data models
  • Strong Solutions architecture experience

If you are interested please apply through LynxPro, or contact the team via info@lynxpro.com, or Call 01183130260