At a Glance
- Tasks: Lead data architecture projects and collaborate with experts to create innovative data solutions.
- Company: Join DXC Technology, a leader in tech with a focus on community and collaboration.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for personal growth.
- Other info: Inclusive culture that values your unique contributions and supports your career journey.
- Why this job: Make a real impact in the data world while mentoring the next generation of tech talent.
- Qualifications: Bachelor's degree or equivalent experience, with 3+ years in data architecture.
The predicted salary is between 50000 - 70000 € per year.
Essential Job Functions
- Manage data architecture projects and teams, ensuring project objectives and timelines are met.
- Collaborate with data architects and analysts to implement data solutions, utilizing best practices.
- Participate in defining data requirements and contributing to the development of data strategies.
- Implement data governance and quality standards to maintain data accuracy.
- Support the development of data roadmaps, ensuring adherence to data standards.
- Assist in mentoring and guiding junior staff in data architecture best practices.
- Contribute to data security initiatives and data compliance efforts.
- Provide regular updates on project progress and issues to senior management.
Basic Qualifications
- Bachelor's degree in a relevant field or equivalent combination of education and experience.
- Extensive experience in the industry, with a minimum of 3 years in a similar role.
- Proven experience in data architecture and management.
- Proficiencies in data modeling, data warehousing, ETL processes, and database technologies.
- Continuous learner that stays abreast with industry knowledge and technology.
Other Qualifications
- Advanced degree in a relevant field is a plus.
- Relevant certifications such as TOGAF, CDMP, or similar are a plus.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritises in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
AI Technologist (Data & AI) in Farnborough employer: Limelight Health
At DXC Technology, we pride ourselves on being an exceptional employer, particularly for the role of AI Technologist (Data & AI). Our commitment to fostering a collaborative and inclusive work culture ensures that employees not only thrive in their roles but also have ample opportunities for professional growth and development. With a focus on flexibility and wellbeing, our team enjoys a supportive environment that values innovation and continuous learning, making it an ideal place for those looking to make a meaningful impact in the field of data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land AI Technologist (Data & AI) in Farnborough
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI field. Attend meetups, webinars, or even local events to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and achievements in data architecture. This will give you an edge and demonstrate your expertise to hiring managers.
✨Tip Number 3
Prepare for interviews by practising common questions related to data governance and architecture. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Technologist (Data & AI) in Farnborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Technologist role. Highlight your experience in data architecture and management, and don’t forget to mention any relevant projects you've worked on that align with our job description.
Showcase Your Skills:We want to see your proficiencies in data modeling, ETL processes, and database technologies. Be specific about the tools and technologies you’ve used, and how they relate to the responsibilities listed in the job description.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how your background makes you a great fit for our team. Don’t forget to mention your commitment to continuous learning!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our community!
How to prepare for a job interview at Limelight Health
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data architecture, data modelling, and ETL processes. Be ready to discuss specific projects you've worked on and how you implemented best practices. This will show that you’re not just familiar with the concepts but have real-world experience.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data architects and analysts, be prepared to share examples of how you've successfully collaborated in past projects. Highlight your ability to communicate effectively and work as part of a team to achieve project objectives.
✨Demonstrate Continuous Learning
The tech world is always evolving, so it’s crucial to show that you’re a continuous learner. Mention any recent courses, certifications, or industry events you've attended. This will demonstrate your commitment to staying updated with the latest trends and technologies in data and AI.
✨Prepare for Governance and Compliance Questions
Given the importance of data governance and compliance in this role, be ready to discuss your experience with data quality standards and security initiatives. Prepare some examples of how you've contributed to maintaining data accuracy and compliance in previous roles.
