Data Solution Architect

Farkas Kiss Endre legjobb állása Capgemini

info.me@capgemini.com;bergen.no@capgemini.com

Bewerbung fur Managing / Senior Frontend Architekt

Levél szövege

Lieber Capgemini!

Ich möchte mich bei Ihrem Unternehmen als Data Solution Architect bewerben. 
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.

Ich habe meinen Lebenslauf an diese E-Mail angehängt.

Wir freuen uns darauf, von Ihnen zu hören!


Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger

https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org

Álláshirdetés szövege

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!