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For Companies At a Glance
- Tasks: Lead innovative data and AI projects, collaborating with top-tier clients and teams.
- Company: Join Computacenter, a leading Data & AI Consultancy with a dynamic culture.
- Benefits: Competitive salary, travel opportunities, and professional growth in a thriving environment.
- Other info: Exciting career progression and the chance to mentor junior team members.
- Why this job: Make a real impact by architecting cutting-edge data solutions for enterprise clients.
- Qualifications: 5+ years in data technologies, strong communication skills, and client-facing experience.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking a highly skilled and motivated Data and AI Technical Architect to join our Data & AI Consultancy Practice within Computacenter. In this role, you will work with a range of enterprise customers to lead both pre- and post-sales engagements in complex design, consulting and deployment projects, working individually and within a team of highly skilled architects, consultants, and project managers. Reporting directly to the Practice Leader, you will join a strong and growing team. Due to continued pipeline growth, we are looking to expand with additional talented individuals.
This position requires the ability to work as part of a team, but also as an individual contributor. You will work in both pre- and post-sales consulting environments, developing strong relationships with clients and coordinating multiple client activities at the same time. This role will be mainly based from our London office, with UK-wide travel expected for meetings and project engagements.
What you’ll do
- This customer centric role involves working with our clients and partners to help architect and support implementation efforts of solutions to client use cases, defining solutions for the analysing of large datasets, and optimising performance of both new and incumbent technologies.
- You will work closely with our technical and sales teams to drive innovation and deliver cutting-edge solutions that leverage the full potential of data technologies into our customer base.
- Form and work deep relationships with the Solution Sales community to ensure practice integration at presales stages, working directly with customers to understand requirements and offer ideal solutions.
- Consult and deliver on design, implement, and optimise data architectures for a variety of applications.
- Collaborate with cross-functional teams to integrate DR capabilities into our solutions and services, contributing to the overall strategy and service development.
- Stay abreast of the latest in the subject field area.
- Customer facing skills with the ability to propose solutions to improve efficiency and scalability.
- Excellent presentation and documentation skills.
- Provide technical leadership and mentorship in areas of expertise, including guiding junior team members and participating in knowledge-sharing activities.
What you’ll need
- The ideal candidate will have a strong background in data technologies, with a particular focus on Data Protection and Business Continuity.
- Required Skills
- 5+ years of experience in technical consulting, specifically in Data technologies.
- Strong client facing, communication and interpersonal skills, capable of conveying complex technical concepts to non-technical stakeholders.
- Proven pre-sales and delivery experience in the area of enterprise data and AI technologies.
- Data Governance, Data Health & Data Hygiene.
- Strong theoretical and practical knowledge of Data Protection solutions including Cohesity, Rubrik, Commvault, Veeam and more.
- Detailed knowledge of DSPM products, such as Varonis, Cyera, Securitii.ai.
- Understanding of Modern Data Platforms.
- Edge, Datacenter, and cloud architectural knowledge relating to Data and AI use cases.
- Excellent problem-solving skills, with the ability to work independently and in a team environment.
- Data Lake/Lakehouse: Starburst, Snowflake, Databricks.
- Nvidia OEM partner knowledge and awareness.
- Intel / AMD knowledge and awareness.
- Must be security clearable to a high level.
- Technical certifications on any of the following vendors would be beneficial: Modern Data Platforms: Snowflake; DataBricks; Starburst; Microsoft Fabric.
Data & AI Technical Architect employer: Computacenter
Contact Detail:
Computacenter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Technical Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to Data & AI. We recommend doing mock interviews with friends or using online resources to get comfortable discussing your experience and how it relates to the role.
✨Tip Number 3
Showcase your expertise! Create a portfolio or case studies of your previous projects that highlight your skills in data technologies and AI solutions. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data & AI Technical Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data & AI Technical Architect role. Highlight your experience with data technologies and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how you can contribute to our team. Be sure to mention any specific experiences that relate to the job description.
Showcase Your Client-Facing Skills: Since this role involves working closely with clients, make sure to highlight your communication and interpersonal skills in your application. We love seeing examples of how you've successfully engaged with clients in the past!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Computacenter
✨Know Your Data Inside Out
Make sure you have a solid understanding of the data technologies mentioned in the job description, like Cohesity, Rubrik, and Snowflake. Brush up on your knowledge of Data Protection solutions and be ready to discuss how you've implemented these in past roles.
✨Showcase Your Client-Facing Skills
Since this role involves a lot of client interaction, prepare examples that highlight your communication and interpersonal skills. Think about times when you've successfully conveyed complex technical concepts to non-technical stakeholders and how that led to successful project outcomes.
✨Demonstrate Problem-Solving Prowess
Be ready to tackle hypothetical scenarios during the interview. Practice articulating your thought process for solving data-related challenges, especially in a team setting. This will show your ability to think critically and work collaboratively.
✨Stay Current with Industry Trends
Familiarise yourself with the latest trends in data and AI technologies. Be prepared to discuss how these trends can impact the business and how you can leverage them to drive innovation within the company. Showing that you're proactive about learning will impress your interviewers.