Ce recruteur est en ligne!

Voilà ta chance d'être vu en premier!

Postuler maintenant

Senior Secret Cleared data solution architect to develop and implement a cloud data management and analytics platform

Toronto, ON
  • Nombre de poste(s) à combler : 1

  • À discuter
  • Emploi Contrat

  • Date d'entrée en fonction : 1 poste à combler dès que possible

Our valued Public Sector client is in need of a Senior Secret Cleared data solution architect to develop and implement a cloud data management and analytics platform


The client requires expertise in data management and analytics services to provide assistance in designing, developing and operationalizing data management and analytics services and solutions managed by the Chief Data Office (CDO) team, to further enable the Data and Digital Transformation initiatives.


Responsibilities


  • Develop and document the proposed short- and medium-term strategy for the selective migration of on-premise Data Analytics solutions to cloud services or alternative IT service delivery platforms
  • Design Cloud-based Data Analytics solutions architectures that meet key non-functional requirements (security, compliance, performance, resiliency, and availability)
  • Define, design, and document Data Analytics platforms, and hosting architectures in the Public Cloud with connectivity to on-premises data centres
  • Collaborate on the development of implementation plans for the migration and deployment of appropriate solutions for accessing legacy data in the Public Cloud environment
  • Leverage cloud specific services (e.g., data lakes, ETL tools, data warehouses, data science platforms) to implement desired Cloud operating models and enable DevOps capabilities


Must Haves:


  • Designing and architecting an infrastructure service or application to run on a Cloud Service Provider technology platform, within the last 5 years
  • 5+ years supporting data analytics in the Cloud
  • 5+ years performing Complex data migrations
  • Experience with the following technologies in a cloud environment:
  • Data warehouses or data lakes
  • Data extraction
  • Load and transform (ETL) services
  • Cloud storage and backup
  • Identity, Credential and Access Management (ICAM)
Apply

Exigences

Niveau d'études

non déterminé

Années d'expérience

non déterminé

Langues écrites

non déterminé

Langues parlées

non déterminé