At a Glance
- Tasks: Lead data engineering and architecture for innovative research data solutions.
- Company: Join a dynamic global leader in research and education publishing.
- Benefits: Competitive salary, opportunities for growth, and a collaborative work culture.
- Other info: Embrace a culture of curiosity and continuous learning.
- Why this job: Make a real impact on the future of research data ecosystems.
- Qualifications: Experience in data-intensive applications and cloud platforms required.
The predicted salary is between 36000 - 60000 £ per year.
What you will be doing
- 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.
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-standardized 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.
Skills & Experience
- 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.
- 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.
- Hands-on experience with cloud data platforms and services (e.g., AWS, Azure, GCP).
- Experience with AI and Machine Learning, including MLOps practices.
- Experience with decentralised Data Mesh and Data Product architecture principles.
We are an ambitious and dynamic organisation, and home to some of the best-known names in research, educational and professional publishing. Working at the heart of a changing industry, we are always looking for great people who care about delivering quality to our customers and the communities we work alongside.
Data Solution Architect in London employer: Springer Nature group
Springer Nature Group is an exceptional employer, offering a dynamic work environment in the heart of London with a hybrid model that promotes work-life balance. Employees benefit from a culture of collaboration and innovation, alongside ample opportunities for professional development and engagement in impactful scientific discussions, making it a rewarding place to advance your career in life and health sciences.
StudySmarter Expert Advice🤫
We think this is how you could land Data Solution Architect in London
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how you fit into their vision, especially around data solutions and collaboration.
✨Tip Number 3
Showcase your skills with a portfolio! If you've worked on data projects, create a presentation or demo to highlight your achievements and problem-solving abilities.
✨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, it shows you're genuinely interested in joining us.
We think you need these skills to ace Data Solution Architect in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Solution Architect role. Highlight your experience with data-intensive applications and how you've collaborated across teams, just like we do at StudySmarter.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your hands-on experience with cloud platforms and various databases. We love seeing candidates who can clearly articulate their technical knowledge and how it aligns with our needs.
Communicate Clearly:Since collaboration is key in our day-to-day work, ensure your application reflects your ability to communicate complex ideas simply. Use clear language and examples that demonstrate your understanding of both technical and non-technical aspects.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Springer Nature group
✨Know Your Data Landscape
Before the interview, take some time to research and understand the current state of data solutions in the industry. Familiarise yourself with common challenges and opportunities in data architecture, especially those relevant to the role. This will help you speak confidently about how you can contribute to improving the data landscape.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various stakeholders, be prepared to discuss your experience in cross-functional collaboration. Share specific examples of how you've successfully worked with product managers, engineers, or other teams to deliver data-centric solutions. Highlight your ability to communicate complex ideas clearly to non-technical stakeholders.
✨Demonstrate Technical Expertise
Brush up on your knowledge of different database types and cloud platforms, as well as data modelling techniques. Be ready to discuss your hands-on experience with technologies like AWS, Azure, or GCP. Prepare to explain how you've architected data solutions that meet performance and security requirements in past projects.
✨Prepare for Problem-Solving Scenarios
Expect to face hypothetical scenarios during the interview where you'll need to demonstrate your problem-solving skills. Think about how you would approach common data challenges, such as optimising existing data products or addressing data governance issues. Practising these scenarios will help you articulate your thought process effectively.
