Data Solution Architect

Job Description

We are looking for a Data Solution Architect
based in Geneva or Zurich

On our teams, everyone counts – and we want your unique way of thinking.

You bring the talent, and we’ll provide the rest!

Your Team.

At Capgemini, we deliver end-to-end solutions within all areas of IT and advanced analytics to help solve major challenges for our clients.

The Insights & Data practice is focused on creating cutting-edge machine learning and AI solutions that run on top of reliable, scalable, and high-performing data platforms.

Insights & Data is a global business line within Capgemini that consists of 30,000 experts worldwide. Our services include the design, build and deployment of data & AI platforms, data science and business intelligence projects. We cover all industries and work hand in hand with all other practices to deliver end to end Data & AI transformation to our clients.

Your Key Responsibilities.

• Designing data analytics solutions by utilizing the data technology stack with Big Data / cloud techniques

• Conducting solution architecture review/audit, calculating and presenting ROI

• Creating and presenting solution architecture documents with deep technical details to customer and implementation teams

• Participating in the full cycle of “pre-sale” activities to prepare technical proposals on customer requests: collaborating with Sales to generate leads, promoting the practice and have direct communications with customers
• Leading implementation of the solutions from established project requirements and goals to solution "go-live"
• Maintaining a strong understanding of industry trends and best practices, driving cutting edge technologies and implementing them to derive value to our customers
• Growing the practice’s and own's expertise by gathering and monitoring available project experience across other geographies
• Leading our global delivery teams across the various locations to ensure proper specification and deliverability of the solution and manage the according review and approval process
• Assisting Project Managers by providing inputs on architecture/technical activities, detail the technical activities and help manage the work packages with the consultants

What we expect from you.

• Master’s or bachelor’s degree in computer science, mathematics, engineering, or related field
• 10+ ‘hands-on’ experience as a Big Data Architect with a solid design AND development background with Java, Scala, or Python

• Architecture experience and practice in some of the following areas:

  • Data Management
  • Data Storage
  • Data Visualization
  • Disaster Recovery
  • Integration
  • Operation
  • Security
  • Strong cloud experience (AWS, Azure or GCP) in both implementation as well as sales lifecycle (pitching, solutioning, brainstorming and implementing)

• Experience in designing and developing high-volume mission critical transactional data integration solutions

• Solid experience in continuous delivery tools and technologies, containers and resource management systems
• Able to lead Big Data initiatives on enterprise level and to architecture customer business transformations with data technologies
• Demonstrated ability to gain credibility and build relationships with all levels in an organization, from technical experts to senior executives
• Strong communication skills, including customer facing, pre-sales activities and team coordination
• Fluent English

NICE TO HAVE

• Experience and hands-on with TB & PB scale analytics platform, understanding and theoretical knowledge for developing and building such kind of platforms
• Big Data stack: Hadoop, Hive, Spark, Kafka, Flume, Sqoop, Zookeper
• Background in traditional data warehouse and business intelligence stacks (ETL, MPP Databases, Tableau, Microsoft Power BI, SAP Business Objects)
• Large-scale enterprise applications and data-centric platforms (S4 Hana, MS Dynamics…)

What you can expect.

We offer an open and people-driven work environment. We offer opportunities to grow and enable you to shape the future you want. We strive to create a sustainable and human-centric working environment and, in addition to the contractually agreed remuneration, we offer other attractive extras with our Capgemini benefits.

• Flexible working hours - autonomy regarding when to start and stop work
• Hybrid working model long term - freedom to choose remote work for 25-70% of working time
• 5 weeks of vacations – at least 25 days of vacation each year
• Employee referral bonus - 3’000-6’000 CHF of financial rewards for recommending job candidates
• Company shares program - preferential terms for investing in the Capgemini's shares, with 100% guaranteed recover of investment
• Constant personal development with a steep learning curve - a system of trainings, mentoring, counselling and on-the-job learning
• Performance-based recognition and progression system

Interested? We should talk!

Take your chance and apply!