Cloud Data Solution Architect, Cognizant

Cloud Data Solution Architect, Cognizant

Company Cognizant
Job title Cloud Data Solution Architect
Job location Amsterdam, AM-Vlisngenstrat / Netherlands
Type Full Time

Responsibilities:

  • Lead joint solution/offering architecture discussions with partner architects/stakeholders and support development
  • Craft and manage solution architecture and proposal defense for reactive and proactive proposal responses for data platforms and solutions on the cloud
  • Drive turnkey proposals for data platforms, analytics, built cost summaries, value propositions as part of cloud modernization, data portfolio rationalization
  • Provide leadership for the transformation of customer requirements into visions, strategies, and roadmaps to implement data platforms, multi-cloud, cloud data warehouse
  • Independently lead client design workshops and provide tradeoffs and recommendations
  • Contribute to the Cognizant Data community by developing assets, thought leadership, etc.

Requirements & Skills:

  • Certified Solution Architect on one of the clouds
  • Aware of PaaS services relating to Data, Analytics, and end-point API interfaces – EMR/Dataproc/Databricks, etc.
  • Able to compare and contrast the best of technologies by layer – e.g., stream processing, messaging, search, etc.
  • High-level awareness of other partner technologies, which are alternative to native services like Snowflake, Cloudera, Talend, Informatica, Confluent, etc.
  • Excellent consulting, communication, influencing, and facilitation skills, in particular problem-solving/troubleshooting activities.
  • Lead key data architecture decisions, design of architectural roadmaps, database, data access, and data technology architectures
  • Provide expertise on the overall data eco-systems engineering best practices, standards, architectural approaches, and complex technical resolutions
  • Holistic knowledge of solution architecture, including data layers and purpose, serverless compute, processing run time – ETL vs Spark run time, etc., security controls around authentication, authorizations, encryption, and certificates, recommend the migration tools and design data migration strategy, metadata, and data catalogs.
  • Excellent communication skills, preparing PowerPoint presentations, executive readouts

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