Data Solution Architect
vor 1 Tag
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)
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
- 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
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