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  • Expert level knowledge in two or more of the following subject areas specialisms, so that you can lead data technology architecture from a position of technical authority: o Data Engineering patterns and practices for efficient & optimized utilization from raw data
  • Data Warehousing, semantic layer definitions and scaled data consumption patterns.
  • Distributed compute and processing data in parallel.
  • Robust enterprise grade data integration, ingestion, management & pipelines.
  • Data streaming and associated ”Lambda” style data architectures.
  • Operationalization of Data Science outcomes, including continuous model qualification.
  • Experience of 2 or more of the following core Azure data components, or very strong adjacent experience from other platforms. o Azure Storage (Data Lake Store, Blob Storage, etc.
  • Data Bricks / Spark / Azure Data Lake Analytics
  • Azure DW/Synapse
  • Azure Functions, Event Hub and other adjacent data relevant components.
  • IaC / Automated delivery technology such as Azure DevOps, Terraform, Ansible, etc.
  • Azure Kubernetes Service or other Containerized delivery technology.
  • Experience delivering specialized & detailed reference architectures as content
  • Experience with data modelling and distributed data architecture concepts, fluency with agile and DevOps methodology and automaton practices
  • Superb problem solving and outstanding communication skills with the ability to describe complex & abstract technical concepts to peers and engineers.
  • 12+ years' total experience with at least 5 years of senior architecture leadership roles.

Last updated on Jun 26, 2023

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