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For Companies At a Glance
- Tasks: Design and evolve cloud-based data platforms for diverse clients.
- Company: Join a forward-thinking tech company with a focus on innovation.
- Benefits: Enjoy competitive salary, private medical cover, and generous holiday allowance.
- Other info: Opportunities for personal development and career growth in a dynamic environment.
- Why this job: Shape the future of data architecture and make a real impact.
- Qualifications: Experience in cloud data platforms and strong architectural skills required.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking an experienced Technical Architect to support the design and evolution of large-scale, cloud-based data platforms across our portfolio of clients. The Technical Architect will play a key role in shaping solution design patterns, ensuring alignment with established standards, and supporting a strategic transition and migrations across / to / from AWS & Azure.
Key Responsibilities
- Define and evolve technical architecture patterns for data ingestion, processing, and access.
- Design scalable, resilient, and cost-efficient data solutions within a Hub and Spoke model.
- Support the design of new data ingestion pipelines (batch and real-time).
- Ensure alignment with organisational architectural standards and governance frameworks.
- Contribute to target architecture roadmaps.
- Provide architectural guidance across:
- Data ingestion (Kafka, APIs, SFTP)
- Data processing (PySpark, EMR, Glue)
- Storage (S3 and data lake patterns)
- Data quality and consistency
- Performance and scalability
- Security and compliance
Required Skills & Experience
- Strong experience designing modern cloud-based data platforms.
- Hands-on architectural experience with:
- AWS (essential): S3, EMR, Glue
- Kafka / event streaming architectures
- Python & PySpark-based data processing
- Data ingestion patterns
- Data transformation and curation layers
- Data access and productisation
Employee Benefits
- Training – All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies.
- Private medical cover for you and your spouse/partner, offered via Vitality.
- Discretionary bonus based on a blend of personal and company performance.
- Holiday – You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays.
- Electric Vehicle leasing with salary sacrifice.
- Contributed Pension Scheme.
- Death in service cover.
Equal Opportunities
We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
Technical Architect - Data Platforms employer: UBDS Group
Contact Detail:
UBDS Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Architect - Data Platforms
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with cloud-based data platforms. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with AWS, Azure, and data ingestion pipelines. This will help you stand out during interviews and demonstrate your hands-on expertise.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to technical architecture and cloud solutions. Mock interviews with friends or mentors can help you articulate your thoughts clearly.
✨Tip Number 4
Apply through our website! We want to see your application directly, so make sure to submit your details on our platform. It’s the best way for us to connect and get you in front of the right people.
We think you need these skills to ace Technical Architect - Data Platforms
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with cloud-based data platforms, especially AWS and Azure. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills: When detailing your experience, focus on specific technologies like PySpark, Kafka, and Terraform. We love seeing hands-on experience, so include examples of how you've designed data ingestion pipelines or worked with CI/CD workflows.
Communicate Clearly: We appreciate clear communication, especially when it comes to complex technical concepts. Use straightforward language in your application to explain your architectural decisions and how they’ve benefited past projects.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we can’t wait to hear from you!
How to prepare for a job interview at UBDS Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, PySpark, and Kafka. Brush up on your knowledge of data ingestion pipelines and cloud architecture patterns, as you’ll likely be asked to discuss these in detail.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles, particularly around designing scalable data solutions or migrating platforms. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Understand the Company’s Cloud Strategy
Research the company’s current cloud strategy and any recent projects they’ve undertaken. This will help you align your answers with their goals and demonstrate that you’re genuinely interested in contributing to their success.
✨Be Ready for Technical Scenarios
Expect technical questions or scenarios during the interview. Practice explaining complex architectural concepts in simple terms, as clear communication is key. You might also want to prepare for a whiteboard session where you could be asked to design a data solution on the spot.