At a Glance
- Tasks: Lead the design and evolution of cutting-edge Data Fabric architecture.
- Company: Join a leading engineering and technology business at the forefront of innovation.
- Benefits: Competitive salary, career growth, and the chance to work on impactful projects.
- Other info: Collaborative environment with opportunities for hands-on technical leadership.
- Why this job: Shape the future of secure data platforms in complex environments.
- Qualifications: Proven experience in data architecture and leadership skills.
The predicted salary is between 80000 - 100000 £ per year.
Hexwired Recruitment has partnered with a leading engineering and technology business delivering cutting-edge solutions across secure environments, AI enablement and next-generation data platforms. Due to continued growth, they are now looking for a Lead Data Architect to join their team in Farnborough. This is a fantastic opportunity for an experienced Data Architect to take ownership of a large-scale Data Fabric architecture, helping shape the future of secure, scalable and resilient data platforms used within highly complex environments. The role combines strategic architecture ownership with hands-on technical leadership across engineering and data teams.
As Lead Data Architect, you will be responsible for defining and evolving the overall data architecture roadmap, ensuring strong governance, interoperability and scalable deployment across secure customer environments. You will work closely with multidisciplinary engineering teams, guiding technical direction whilst remaining close to delivery and implementation.
Key Responsibilities:- Own and evolve the end-to-end Data Fabric architecture
- Define architecture roadmaps, standards, governance and best practices
- Lead data integration and interoperability strategies across multiple environments
- Design scalable data processing, storage, metadata and governance solutions
- Establish architecture patterns and technical guardrails for engineering teams
Lead Data Architect in Hampshire employer: Hexwired Recruitment Limited
As a leading engineering and technology business, we pride ourselves on fostering a collaborative and innovative work culture in Farnborough. Our commitment to employee growth is evident through continuous learning opportunities and the chance to lead transformative projects in secure environments. Join us to be part of a dynamic team where your expertise as a Lead Data Architect will not only shape cutting-edge data solutions but also contribute to a meaningful impact in the industry.
Contact Details:
Hexwired Recruitment Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Architect in Hampshire
✨Tip Number 1
Network like a pro! Reach out to your connections in the engineering and tech space, especially those who work with data architecture. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects related to data architecture. This could be anything from architecture roadmaps to successful data integration strategies. Visuals can really make you stand out!
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in data architecture. Be ready to discuss how you would approach defining governance and interoperability in complex environments. We want you to impress them with your knowledge!
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Lead Data Architect in Hampshire
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Architect role. Highlight your experience with data architecture, governance, and any relevant projects that showcase your skills in designing scalable solutions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific experiences that align with the job description and show your passion for data architecture.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise in your application. Mention any tools, technologies, or methodologies you’ve used that relate to data integration and architecture patterns.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Hexwired Recruitment Limited
✨Know Your Data Fabric Inside Out
Make sure you understand the concept of Data Fabric architecture thoroughly. Be prepared to discuss how you would approach designing and evolving such architectures, especially in secure environments. Brush up on your knowledge of data integration and interoperability strategies, as these will likely be key discussion points.
✨Showcase Your Leadership Skills
As a Lead Data Architect, you'll need to demonstrate your ability to lead multidisciplinary teams. Prepare examples from your past experiences where you've successfully guided technical direction or implemented governance standards. Highlight your hands-on leadership style and how it has positively impacted project outcomes.
✨Familiarise Yourself with Best Practices
Research the latest best practices in data architecture, especially those related to scalability and resilience. Be ready to discuss how you would establish architecture patterns and technical guardrails for engineering teams. This shows that you're not just technically savvy but also committed to maintaining high standards.
✨Prepare Questions for Them
Interviews are a two-way street, so think of insightful questions to ask about their current data platforms and future challenges. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. Ask about their approach to AI enablement and how they envision the evolution of their data architecture.
