Springer Nature
Data Solution Architect
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Data Engineering & Architectural Leadership
About the Role
The role is to provide data engineering and architectural leadership to teams building core data products and services powering Springer Nature’s researcher brands.
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 and 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.
- This includes working with the Data Architect to understand team needs, use cases, and constraints for the use case data ecosystems.
- 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.
- Consider the best technology for data teams, given a spectrum of technical literacy.
- 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
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.
- Where necessary, advocate for and enforce cross-functional technical and data requirements (e.g., GDPR, security, operability, etc.).
- Deep, demonstratable 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 (e.g., AWS, Azure, GCP).
- Familiarity with cloud-native data architectures and technologies.
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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.
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.
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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.
Company Benefits
Having a good command of English is important; collaboration is important in our day-to-day work, so being able to communicate your ideas and understand others’ is key.
For all roles in all locations, we offer a competitive, industry-benchmarked salary. To find out more about the package provided at each location, please visit: Springer Nature Group Careers.
About Us
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.
In return, you will find that we open the doors to discovery for all our employees – offering opportunities to learn from some of the best in the business, with a culture that encourages curiosity and empowers people to find solutions and act on their instincts.
Whether you are at the beginning of your career or are an experienced professional, we invite you to find out more about the roles we offer and explore our current vacancies.
We are a global and progressive business, founded on a heritage of trusted and respected brands – including Springer, founded in 1842, Macmillan, founded in 1843 and Nature, first published in 1869. Nearly two centuries of progress and advancement in science and education have helped shape the business we are today.
Research and learning continues to be the cornerstone of progress, and we will continue to open doors to discovery through trusted brands and innovative products and services.
Springer Nature Group was created in May 2015 through the combination of Nature Publishing Group, Macmillan Education and Springer Science+Business Media.
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