At a Glance
- Tasks: Collaborate across teams to design and deliver innovative data solutions.
- Company: Join a forward-thinking company focused on data-driven transformation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and continuous learning.
- Why this job: Make a real impact by shaping the future of data architecture.
- Qualifications: Experience in data solutions and a passion for technology.
The predicted salary is between 60000 - 80000 £ per year.
About you
You’re happy working across teams and departments to align and coordinate the development and delivery of data‑centric solutions. You spot risks and opportunities and fill in the gaps between delivery teams. You help remove blockers throughout the data supply chain. You produce demos and MVPs for analysis to test out possible solutions that you can use to demonstrate ideas or gaps. You take an iterative approach to solving complex problems and seek feedback to quickly arrive at the best result.
Role Responsibilities
- Coordinate across teams to ensure consistent data product development and utilisation, establishing and delivering the defined data architecture.
- Work with both data producers and consumers to optimise existing data products and the data within them to meet evolving business needs.
- Advocate for teams delivering data‑as‑a‑product.
- Collaborate on the design of the research data ecosystem, addressing disambiguation, data product creation, API development, model building, harmonisation, standardisation, and governance.
- Adopt company‑standardised technology, including cloud platforms, and collaborate with technology teams to improve offerings.
- Work with data privacy and governance teams to ensure data security and appropriate accessibility, adhering to relevant regulations (e.g., GDPR).
- Build relationships with other departments/disciplines/groups to ensure alignment and collaboration.
- Clarify constraints, trade‑offs, or important decisions to non‑technical stakeholders.
- Introduce business and product leaders to data and data engineering concepts and align solutions to user and business needs.
- Foster a safe and collaborative technical community, growing technical knowledge and cultivating knowledge sharing in and across teams.
- Provide data‑related technical and architectural assistance to product delivery teams and IT when needed.
- Assist and support tech leads and senior developers to help unblock issues.
What you will be doing
1 month
- Collaborate with key stakeholders (product managers, engineers, architects) to understand the current state of the research data landscape and identify immediate opportunities for improvement.
- Document the as‑is data/technical landscape for research data and the wider domain.
- Begin building relationships and feedback loops with data governance, security, and other relevant groups to ensure alignment on data standards, security policies, and architectural principles.
- Start to map out the existing data sources and identify potential issues that need to be addressed.
3 months
- Maintain a high‑level roadmap for the development of the research data ecosystem, outlining key milestones and deliverables for the next 6‑12 months, and present to senior leadership.
- Determine how the technical architecture can support delivery autonomy while supporting consistent user journeys across our platforms.
- Perform feasibility analysis and provide recommendations on Build vs. Buy for systems that support the agile development process, scalability, and data governance requirements.
- Create an architectural forum to bring together architects and tech leads in the research data initiatives.
6 months
- Based on feedback from initial delivery, refine the roadmap and architecture, incorporating lessons learned and adjusting priorities as needed.
- Scale the successful approaches to other areas of the research data ecosystem, empowering teams.
- Develop and communicate a clear vision for the future of the research data ecosystem, highlighting its role in supporting strategic organisational goals.
Skills & Experience
Essential
- Proven experience designing, delivering, and scaling data‑intensive applications.
- Demonstrated ability to architect data solutions that meet performance, scalability, and security requirements.
- Experience working on transformation projects involving introducing new technologies and ways of working within a business.
- Ability to drive adoption of new data architectures and technologies.
- Ability to clarify and uncover technical requirements, risks, and opportunities with tech leads and collaborators.
- Experience translating business needs into technical specifications.
- Advocacy for and enforcement of cross‑functional technical and data requirements (e.g., GDPR, security, operability).
- Deep, demonstrable experience delivering with various types of databases and design, including relational databases, NoSQL databases, graph databases, vector stores, and data warehouses, particularly in cloud environments.
- Experience with data modelling techniques and data warehousing methodologies (e.g., Kimball, Inmon, Data Vault).
- Hands‑on experience with cloud data platforms and services (AWS, Azure, GCP).
- Familiarity with cloud‑native data architectures and technologies.
Desirable
- Experience with data management tools and processes.
- Experience with AI and Machine Learning, including MLOps practices.
- Experience with decentralised Data Mesh and Data Product architecture principles.
For all roles in all locations, we offer a competitive, industry‑benchmarked salary. To find out more about the package provided at each location, visit here.
Data Solution Architect employer: 1267 Springer Nature Limited
As a Data Solution Architect at our company, you will thrive in a collaborative environment that champions innovation and continuous improvement. We offer competitive salaries, comprehensive benefits, and a strong commitment to employee growth through training and development opportunities. Our inclusive work culture fosters knowledge sharing and empowers you to make a meaningful impact on the research data ecosystem while working with cutting-edge technologies in a dynamic location.
Contact Details:
1267 Springer Nature Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Solution Architect
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio of your work, including demos and MVPs you've developed. This is your chance to demonstrate your problem-solving abilities and how you approach data-centric solutions. Make sure to share it during interviews!
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of data architectures, cloud platforms, and governance. Be ready to discuss how you’ve tackled challenges in past projects and how you can bring value to the team.
✨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 Solution Architect
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data-centric solutions. We want to see how your skills align with the role of Data Solution Architect, so don’t hold back on showcasing relevant projects!
Showcase Collaboration Skills:Since this role involves working across teams, emphasise your ability to collaborate effectively. Share examples of how you've coordinated with different departments to deliver successful data solutions – we love a good team player!
Demonstrate Problem-Solving Abilities:We’re looking for someone who can tackle complex problems iteratively. Include specific instances where you’ve identified risks or opportunities and how you approached solving them. This will show us your analytical mindset!
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, it’s super easy – just follow the prompts!
How to prepare for a job interview at 1267 Springer Nature Limited
✨Know Your Data Architecture
Make sure you understand the key principles of data architecture and how they apply to the role. Brush up on your knowledge of cloud platforms and data modelling techniques, as these will likely come up in conversation. Be ready to discuss how you've previously designed and delivered data solutions.
✨Showcase Your Collaboration Skills
Since this role involves working across teams, be prepared to share examples of how you've successfully collaborated with different stakeholders. Highlight any experiences where you’ve coordinated efforts between data producers and consumers or navigated complex team dynamics.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of data governance, security, and architectural principles. Review relevant regulations like GDPR and be ready to explain how you’ve ensured compliance in past projects. This will demonstrate your ability to advocate for data as a product.
✨Demonstrate Problem-Solving Skills
Be ready to discuss how you approach complex problems iteratively. Share specific examples of challenges you've faced in previous roles and how you sought feedback to refine your solutions. This will show your potential employer that you can adapt and improve based on input from others.
