At a Glance
- Tasks: Lead the future of data engineering and drive platform excellence.
- Company: Innovative company focused on data transformation and engineering culture.
- Benefits: Competitive salary, mentorship opportunities, and a chance to shape engineering practices.
- Other info: Join a dynamic team tackling complex data challenges with genuine ownership.
- Why this job: Make a real impact on large-scale data solutions and AI capabilities.
- Qualifications: Strong background in Data Engineering and experience with enterprise-scale solutions.
The predicted salary is between 80000 - 100000 £ per year.
Shape the future of enterprise data engineering. We're looking for a Principal Data Architect to play a key role in defining how modern data platforms are built, deployed, and operated at scale. This is a high-impact opportunity to influence engineering standards, platform reliability, automation, and delivery practices across a large and growing data ecosystem. Working across Data Engineering, Analytics, AI, and Architecture teams, you'll help drive a culture of engineering excellence while enabling the delivery of reliable, production-grade data products.
What you'll be doing:
- Lead the adoption of modern engineering practices across data platforms
- Drive platform reliability, observability, quality, and operational excellence
- Define standards, frameworks, and reusable patterns that improve consistency and delivery speed
- Partner with technical and business stakeholders to shape the future of the data platform
- Support the delivery of scalable data and AI capabilities across the organisation
- Act as a senior technical leader, mentor, and trusted advisor across multiple teams
What we're looking for:
- Strong background in Data Engineering, Data Platforms, or Platform Engineering
- Experience building and operating enterprise-scale data solutions
- Passion for automation, engineering best practices, and continuous improvement
- Ability to influence technical direction and drive change across teams
- Comfortable operating at both strategic and hands-on levels
- Greenfield opportunity with genuine ownership and influence
- Large-scale data and AI transformation programme
- High visibility across engineering and technology leadership
- Opportunity to shape engineering culture and platform strategy
- Work with talented teams solving complex data challenges
If you're excited by the idea of improving how data platforms are engineered and operated at scale, we'd love to hear from you.
Senior Data Architect employer: Harrington Starr
Join a forward-thinking organisation that prioritises innovation and excellence in data engineering. As a Senior Data Architect, you'll be part of a collaborative culture that values continuous improvement and offers ample opportunities for professional growth. With a focus on modern engineering practices and a commitment to shaping the future of data platforms, this role provides a unique chance to make a significant impact within a large-scale data transformation programme.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. We want to see how you’ve tackled complex data challenges and implemented modern engineering practices.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you’ve driven platform reliability and operational excellence in past roles. We’re looking for someone who can influence change and lead teams.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to hear from candidates who are passionate about shaping the future of data platforms.
We think you need these skills to ace Senior Data Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Architect role. Highlight your background in Data Engineering and any relevant projects that showcase your ability to build and operate enterprise-scale data solutions.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data platforms and how you can drive engineering excellence. Share specific examples of how you've influenced technical direction or improved processes in previous roles.
Showcase Your Technical Skills:Don’t shy away from listing your technical skills! We want to see your experience with modern engineering practices, automation, and any frameworks you've worked with. This is your chance to shine and show us what you bring to the table.
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 this exciting opportunity to shape the future of our data platform!
How to prepare for a job interview at Harrington Starr
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering knowledge. Be ready to discuss your experience with enterprise-scale data solutions and how you've implemented modern engineering practices in the past. This is your chance to showcase your expertise!
✨Showcase Your Leadership Skills
As a Senior Data Architect, you'll be expected to lead and mentor others. Prepare examples of how you've influenced technical direction and driven change across teams. Highlight your ability to partner with both technical and business stakeholders.
✨Emphasise Automation and Best Practices
Since the role focuses on automation and engineering excellence, come prepared to discuss specific tools and frameworks you've used to improve platform reliability and delivery speed. Share any success stories that demonstrate your passion for continuous improvement.
✨Be Ready for Strategic Discussions
Expect questions that assess your strategic thinking. Think about how you would shape the future of the data platform and what standards you would implement. Show that you can operate at both strategic and hands-on levels, as this will be crucial for the role.
