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For Companies At a Glance
- Tasks: Join us as a Data Architect to design innovative data solutions and lead a talented team.
- Company: Eviden is a global leader in digital transformation with a focus on data and technology.
- Benefits: Enjoy 25 days of annual leave, flexible benefits, private medical scheme, and a pension plan.
- Why this job: Be part of a dynamic team shaping the future of data analytics and management.
- Qualifications: Expertise in data modeling tools and experience with cloud platforms like Azure or AWS required.
- Other info: We are a Disability Confident employer committed to inclusivity in our hiring process.
The predicted salary is between 43200 - 72000 £ per year.
Eviden, part of the Atos Group, with an annual revenue of circa € 5 billion is a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 47,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.
The opportunity
- DTC require an experienced Data architect with a broad range of technology and sector experience who have the appetite and capability to advise and architect innovative data solutions for our clients, including the very fast developing areas of “Big Data” and advanced analytics.
- The Digital Insights Practise sits within the Consulting group of Eviden IT Services, UK.
- This practice represents a growing capability within Atos and currently comprises a talented team of analysts, developers, data scientists, consultants and architects covering all aspects of the information management lifecycle; from data management through to business intelligence and analytics.
- We are seeking a talented data architect to join our growing team.
We require an experienced Data Architect to support the delivery of Enterprise and Big Data Architectures with a focus on Analytics and Data Management applications.
The role includes
- Client facing role working through requirements and delivering data architectures in required formats and using agreed data design/modelling tools
- Definition of Conceptual, logical and physical data models, Data Flows (including streaming data) and Data Architectures to support Analytics, Data Warehouse and Data Migration requirements
- Support pre-sales for Analytics and data management solution architectures
- Design authority and delivery owner of data architecture and models for Analytics & Data Management
- Leading a small team of data modellers
- Map data from operational systems to Analytics systems (on-premise and cloud)
Skills we can’t do without:
- Expertise in a minimum of one data modelling tool preferably Erwin or IBM Rational System Architect
- Expertise in facilitating client workshops to gather client requirements and turn these into valuable data models
- Be able to demonstrate an appreciation of the architecture, design and data related issues that affect the development of different types of Data Warehouse and Analytics applications
- Solid grasp across a range of relational and database technology, including Oracle and SQL Server
- Experience in defining and building enterprise wide and platform conceptual, logical and physical models
- Proficient in leading small teams of architects/data modellers
- Demonstrate a good understanding of data integration tools, metadata repository tools and their use
- Appreciation and awareness of the latest concepts around Big Data and its application in Analytics architectures and solutions
- A good understanding of Master Data Management theory and application and the tools that support this
- Architecture experience in Microsoft Cloud (incl. Azure analytics tools) and exposure to Google Cloud Platform or AWS cloud.
- Experience of migrating/integrating data from on premise to Cloud
- Delivery of data governance processes to support management of client data architectures
We care about our employees’ happiness by
- 25 days of Annual leave + an option to purchase more through our Flexible Benefits.
- Flex benefits system – an exciting opportunity to choose your own benefits.
- Pension – matching contribution up to 10%.
- Private Medical Scheme.
- Life Assurance.
- Enrolment in our Share scheme – subject to scheme eligibility criteria.
- Unlimited opportunities to learn in our Training platforms.
As a Disability Confident employer, we aim to ensure that people with disabilities who meet the minimum criteria for this position will be offered an interview. We are committed to making reasonable adjustments and changes as needed to the application and assessment process to remove or reduce any disadvantage associated with a person’s disability.
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DATA ARCHITECT employer: Atos SE
Contact Detail:
Atos SE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DATA ARCHITECT
✨Tip Number 1
Familiarize yourself with the specific data modeling tools mentioned in the job description, such as Erwin or IBM Rational System Architect. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness for the role.
✨Tip Number 2
Prepare to discuss your experience in facilitating client workshops. Be ready to share examples of how you've gathered requirements and translated them into effective data models, as this is a key aspect of the role.
✨Tip Number 3
Stay updated on the latest trends in Big Data and analytics architectures. Being knowledgeable about current technologies and methodologies will help you stand out during interviews and show that you're proactive in your field.
✨Tip Number 4
Highlight any experience you have with cloud platforms like Microsoft Azure, Google Cloud Platform, or AWS. Discussing your familiarity with migrating data to the cloud will be crucial, as it's a significant part of the job responsibilities.
We think you need these skills to ace DATA ARCHITECT
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Architect position at Eviden. Tailor your application to highlight relevant experience in data architecture, analytics, and client-facing roles.
Highlight Relevant Skills: Emphasize your expertise in data modeling tools like Erwin or IBM Rational System Architect, as well as your experience with relational databases such as Oracle and SQL Server. Mention any familiarity with cloud platforms like Microsoft Azure, Google Cloud Platform, or AWS.
Showcase Your Experience: Provide specific examples of past projects where you have successfully designed and implemented data architectures. Discuss your experience in leading teams and facilitating client workshops to gather requirements.
Tailor Your Documents: Customize your CV and cover letter to reflect the language and key phrases used in the job description. This will demonstrate your attention to detail and genuine interest in the position at Eviden.
How to prepare for a job interview at Atos SE
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with various data modeling tools, especially Erwin or IBM Rational System Architect. Highlight specific projects where you successfully implemented data architectures and how you navigated challenges related to data integration and management.
✨Demonstrate Client-Facing Skills
Since the role involves client interaction, practice articulating how you've facilitated workshops to gather requirements. Share examples of how you translated client needs into effective data models, showcasing your ability to communicate complex concepts clearly.
✨Understand Big Data Concepts
Familiarize yourself with the latest trends in Big Data and analytics. Be ready to discuss how these concepts can be applied to data architecture solutions, and provide insights on how you've integrated Big Data technologies in past projects.
✨Lead with Confidence
As a potential leader of a small team, prepare to discuss your leadership style and experiences. Share examples of how you've guided teams in developing data models and architectures, emphasizing your ability to mentor and support others in their professional growth.
