Norway Job Openings
Cognizant
Azure Data & AI Architect
Oslo
FULL TIME
November 25, 2024
At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful. And this is your chance to be part of the success story: we are looking for a Data Scientist to join Digital business practice.
About Cognizant
Cognizant Norway boasts a robust team of over 420 professionals spread across Oslo, Stavanger, Stord, and Kristiansand. Our local team includes experts in AI, data analytics, cloud services, and software development, ensuring we provide top-notch, localized support to our clients. The team is led by seasoned professional, who brings extensive experience in cloud, AI and analytics and building high performing teams. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.
About the Team / Business Unit
Cognizant collaborates with all major hyperscalers and relevant software vendors in the data and AI space. This includes partnerships with industry leaders such as AWS, Microsoft, Google, Snowflake, and Databricks. Our comprehensive approach ensures that we leverage the best tools and technologies to deliver scalable, secure, and efficient solutions. Additionally, we are supported locally by our dedicated Centres of Excellence, which operate both nearshore and offshore. These centres provide specialized expertise and resources, ensuring that we can meet the unique needs of our clients and drive innovation in AI and data cost effectively.
Our projects in Norway reflect our commitment to leveraging AI and data to drive business transformation below some examples:
- Construction: We partnered with client to automate design processes using AI, optimizing construction design and accelerating time-to-market by 70%.
- Financial Sector: We have implemented AI solutions to enhance regulatory compliance and privacy, crucial for the highly regulated financial industry.
- Smart Factories: In manufacturing, we have deployed AI, Computor vision and digital twin technologies to create smart factories, improving quality, efficiency and competitiveness.
Our vision in Norway is to build a data-driven ecosystem that empowers businesses to harness the full potential of AI and data. We aim to:
- Enhance Digital Maturity: By helping companies modernize their core systems and migrate to the cloud, we have enabled them to become truly data driven. With the new wave of Gen Ai and Agent based Ai we are taking additional steps to put data to work and delivering greater insight into action. Re-factoring current solutions and modernising further.
- Drive Innovation: Through continuous investment in AI (1Bn USD and our own Neuro AI platform) plus other third-party data technologies, we strive to foster innovation and maintain a competitive edge for our clients.
- Promote Sustainability: Leveraging AI for sustainable practices, we aim to support Norway’s commitment to environmental sustainability and green technology. AI solutions we co-create with client shall be responsible, ethical and transparent.
- Partner collaboration Weekly meetings locally with Hyperscalers and relevant SW partners for joint coverage and growth in the Norwegian market.
As a Data Architect you would review and analyze an organization's data infrastructure, plan future databases, and implement solutions to store and manage data for organizations and their users. This includes naturally the relationships with the customers as well as the Cognizant account managers & other leaders
Key responsibilities
- Responsible for solution architecture on customer existing and proposed processes.
- Design, support and provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy
- Understand & incorporates non-functional requirements
- Knowledge on Azure cloud platform
- Must have thorough conceptual understanding of the data architecture landscape, how it has evolved from data warehouse to data lake to data lake house and experience of implementing them in any platform (on premise or cloud)
- Must have understanding and relevant experience of the Big Data Ecosystem (in particular Spark)
- Must be experienced in handling data movement in batch and streaming, subject to typical use cases
- B2 level Norwegian skill is mandatory
- Become part of a ‘flag ship’ success story - We go through enormous growth!
- Organization driven by technology – We have a tremendous technology backbone
- Environment where you can make your own ideas reality
- Drive your own career
- Market conforms benefits
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