Data Architect

Data Architect

Full-Time 60000 - 80000 £ / year (est.) No home office possible
Valtech

At a Glance

  • Tasks: Design and deliver innovative data-centric solutions for clients.
  • Company: Join Valtech, a leader in experience innovation with a diverse global team.
  • Benefits: Enjoy hybrid working, 25 days holiday, private healthcare, and continuous learning opportunities.
  • Other info: Inclusive culture focused on growth, well-being, and exciting collaborative projects.
  • Why this job: Be a key player in transforming customer experiences through data architecture.
  • Qualifications: Experience in data architecture, strong communication skills, and knowledge of modern data technologies.

The predicted salary is between 60000 - 80000 £ per year.

Valtech is the experience innovation company, combining the uncommon to unlock a better way for people to experience the world. We work at the intersection of diverse disciplines, cultures and perspectives to create solutions that achieve the exceptional – helping brands make the leap beyond the competition and become leaders in a digital world. We deliver innovation with a purpose. With expertise across experience design, technology and marketing, our passion is in addressing transformational business challenges for our clients.

Challenges where we re‑imagine the customer journey and build new connected experiences. Challenges where we make data work in this new era and help our clients transform the way they operate and optimise business‑critical digital platforms for multichannel commerce and marketing. From discovery to optimisation, clients trust Valtech to remove complexity and deliver innovative, frictionless solutions that close the experience gap between customer expectation and reality.

We are a network of more than 6,500 makers, thinkers, marketers, creatives, and developers spanning 5 continents with 60+ offices in 20+ countries.

Role

You’ll take overall responsibility on behalf of Valtech for the design and quality of data‑centric solutions delivered to our customers. Our architects are involved in the detail, and you can expect to work closely with the engineering team. You’re also likely to become a ‘go‑to’ authority within the company when it comes to data solutions, keeping up to date with industry developments and using your experience to assess the risk profiles of new projects.

What you will be doing:

  • Architectural design for new systems, primarily focused on data flow pipelines, storage and analytics.
  • Analysis of business problems to understand system requirements, including quality attributes such as performance, availability and security.
  • Undertaking information assurance where required.
  • Engagement of technical and non‑technical customer stakeholders at various levels in the organisation, advising and managing expectations where required.
  • Technology evaluation/assessment; identifying & recommending platforms and services.
  • Technical leadership of engineering teams, including mentoring where needed.
  • Representing the company in public forums.
  • Be instrumental in helping to build an Architecture function and work alongside a strong team of Data Scientists, Analysts and Data Engineers.

Our preferred candidate:

  • You’ll have several years of experience, having gone through the full project lifecycle on numerous occasions; you’ve seen how design decisions play out in production.
  • You may have worked in traditional data warehousing environments, but you are up to speed with more contemporary data architectures based on open source technologies.
  • Strong written, diagrammatic and spoken communication; ability to present to senior stakeholders.
  • Experience with varied types of data: tabular, connected, time‑series, geospatial, image, etc.
  • Different types of database – relational; document; graph; columnar; key‑value.
  • Large scale data processing platforms, typically based on Hadoop / Spark.
  • Business intelligence / analytics products or frameworks.
  • Data analysis and data modelling requirements.
  • Experience working with cloud platforms and working with relevant PaaS / SaaS offerings.
  • Knowledge of data integration technologies.
  • Knowledge of distributed computing & information security.
  • Programming experience in languages such as Java or Python is a bonus.
  • While you may not have an exclusively agile background, you strive to work to these principles.

Here at Valtech we’re big believers that our staff are our most important asset, and as such we want to make sure we look after you. As well as all the usual corporate benefits (hybrid & flexible working, pension, life insurance, 25 days holiday, phone, laptop, private healthcare & dental etc), we pride ourselves on our commitment to continuous learning and development, which means you’ll have a clear growth and development path, alongside access to professional coaching and online learning courses.

You’ll be joining an inclusive and diverse workforce, working on truly exciting projects with collaborative teams at a local and global level, with a big focus on health and social well‑being (Cycle to Work Scheme, Employee Assistance Programme, eye tests, Flu Jab, regular Company Days etc).

Commitment to reaching all kinds of people

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.

Data Architect employer: Valtech

Valtech is an exceptional employer that prioritises the growth and well-being of its employees, offering a dynamic work environment where innovation thrives. With a strong commitment to continuous learning, flexible working arrangements, and a diverse, inclusive culture, employees are empowered to take on exciting projects while enjoying comprehensive benefits such as private healthcare and professional development opportunities. Joining Valtech means becoming part of a global network of creative thinkers and problem solvers dedicated to transforming customer experiences in the digital age.
Valtech

Contact Detail:

Valtech Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Architect

✨Tip Number 1

Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data-centric projects. Whether it's a GitHub repository or a personal website, having tangible examples of your work can really set you apart when you're chatting with potential employers.

✨Tip Number 3

Prepare for those interviews! Research common questions for Data Architects and practice your responses. Be ready to discuss your experience with data flow pipelines, analytics, and any relevant technologies. Confidence is key!

✨Tip Number 4

Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates. Plus, it gives you a chance to showcase your enthusiasm for joining Valtech and being part of our innovative team.

We think you need these skills to ace Data Architect

Architectural Design
Data Flow Pipelines
Data Storage
Data Analytics
Business Problem Analysis
Information Assurance
Stakeholder Engagement
Technology Evaluation
Technical Leadership
Data Warehousing
Open Source Technologies
Communication Skills
Data Types Knowledge
Database Management
Large Scale Data Processing

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Data Architect role. Highlight your experience with data flow pipelines, storage, and analytics, as well as any relevant projects you've worked on. We want to see how your skills align with what we do at Valtech!

Showcase Your Communication Skills: Since you'll be engaging with both technical and non-technical stakeholders, it's crucial to demonstrate your strong written and spoken communication abilities. Use clear examples in your application to show how you've successfully communicated complex ideas in the past.

Highlight Relevant Experience: Don’t forget to mention your experience with various data types and database technologies. If you've worked with cloud platforms or large-scale data processing, make that stand out! We love seeing candidates who can bring diverse experiences to our team.

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 awesome team at Valtech!

How to prepare for a job interview at Valtech

✨Know Your Data Inside Out

Make sure you’re well-versed in various data types and architectures. Brush up on your knowledge of relational, document, and graph databases, as well as large-scale processing platforms like Hadoop and Spark. Being able to discuss these confidently will show that you’re the right fit for Valtech's data-centric solutions.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific business problems you've tackled in the past. Think about how you analysed system requirements and what architectural designs you implemented. Valtech values innovation, so be ready to share examples where you re-imagined customer journeys or optimised digital platforms.

✨Communicate Like a Pro

Strong communication is key, especially when engaging with both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms. You might even want to prepare a few diagrams to illustrate your points during the interview, as this can help convey your ideas more effectively.

✨Stay Current with Industry Trends

Valtech is looking for someone who keeps up with the latest developments in data solutions. Research recent trends in data architecture and be prepared to discuss how they could apply to Valtech’s projects. This shows your commitment to continuous learning and your ability to assess new technologies.

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