Solution Architect for Data Analytics and AI Ops m/f

  • DXC Technology
  • 3097 Liebefeld, Bern, Switzerland
  • 06/09/2021
Full time Data Science Data Analytics Big Data Artificial Intelligence Data Management Statistics

Job Description

At DXC, we believe the power of insight comes from an intelligent, end-to end approach to Big Data and information. DXC Analytics aligns the right people, processes and technology to help our clients analyze and act on their information. Our consultants provide the advice and support clients need to transform and manage their Big Data initiative and start unlocking the valuable business opportunities. Clients benefit from Big Data and enhanced analytics to improve customer engagement and satisfaction, create new business opportunities and reduce costs.

The Data Analytics Solution Architect will be part of the Analytics & Engineering Team Switzerland joining a team of consultants, developers, agile coaches and architects. (S)He works with data architecture experts, experienced software developers, data scientists and technology experts to deliver innovative analytic solutions for our customers.

Solution Architect for Data Analytics and Data Architecture
– Senior or Professional Level – Analytics (f/m)

Locations: Zurich or Bern
Contract type: Full time

Travel: 20%

Role and Responsibilities

  • Provide data and analytics advisory to our clients to build their strategies and roadmaps towards achieving business goals
  • Design and develop Data Analytics solutions, proof-of-concept and demos in support of presales activities for clients
  • Design and develop a DXC solution for data and AI Governance and Operations – Managed Machine Learning (MML)
  • Act as a technical lead for the development and refinement of new functionalities
  • Contribute as technical expert in presales activities and knowledge sharing in Data Analytics
  • Contribute to the development of distinguishing offerings and provide thought leadership

Education and Competencies

  • Bachelor or Master degree required in computer science or equivalent qualification
  • Languages: German and English (fluent)
  • Certifications in Architectural frameworks such as TOGAF or similar
  • Hands-on experience in delivering and leading Data Science projects (e.g. Python, R)
  • Proven experience in all phases of a Big Data/Analytics project: Concept & design, development, implementation, change and operation
  • Docker, Kubernetes/AKS/EKS/Openshift (1+ years hands-on experience)
  • Project experience in containerization - Docker
  • Experience in cloud technologies – Azure/AWS/GCP
  • Experience in designing data management solutions architecture
  • Strong customer focus, assertiveness and precise method of operation
  • Possesses an understanding of architectural dependencies of technologies in the customer's analytic environments
  • Able to communicate and present internally and externally in a confident manner

Skills highly appreciated

  • Experience in operationalizing at scale – MLOps or DataOps tools
  • Snowflake or Azure Synapse
  • Fluent German