AWS Data solutions Architect AWS Data solutions Architect …

Cognizant
in Brussels, Bruxelles-Capitale, Belgium
Permanent, Full time
Be the first to apply
Competitive
Cognizant
in Brussels, Bruxelles-Capitale, Belgium
Permanent, Full time
Be the first to apply
Competitive
Cognizant
AWS Data solutions Architect
As an Amazon Web Services Data Solution Architect within the Cognizant Benelux architecture community, you will work on challenging data transformation programs, and provide the best-in-class solutions to our leading industry clients. You will:

  • Define, design and integrate solutions in line with IT strategy roadmap and standards
  • Evaluate products, solutions and tools
  • Propose a preferred solution taking security, risk, cost, impact, time-to-market, and volumes into account
  • Drive or follow up the implementation in cooperation with the delivery team
  • Coordinate between business and IT stakeholders
  • Resolve disputes and make trade-offs
  • Participate as an active member of the architecture community
  • Contribute to the documentation and overall maturity of the architecture community
You are a:

  • Natural-born problem solver who takes initiative and is eager to learn
  • Strong communicator, especially to explain complex concepts in a clear, precise and actionable manner
  • Self-starter who isn't afraid to step up, formulate creative solutions and take risks
  • Independent worker that can also be part of a team
  • Fluent English speaker, preferably you can understand Dutch and/or French conversations
You have:

  • A comprehensive overview of different technologies used to valorize large amounts of data
  • A good mix of architecture knowledge, programming skills and business focus
  • Explained data lake, data warehouse, business intelligence and machine learning solutions
  • An understanding of data wrangling, quality, governance, reporting, descriptive and predictive analytics
  • Worked with Amazon Web Services Aurora, Redshift, DynamoDB, S3, Glue, Kinesis, Lambda, Sagemaker
  • Defined continuous improvement/delivery pipelines and configuration management in AWS
  • Built data warehouses and modeled data
  • Applied SQL and NoSQL design patterns
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