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About the Role

Provide data engineering and architectural leadership to teams building core data products and services powering Springer Nature’s researcher brands. You will coordinate across teams, identify risks and opportunities, remove blockers, and produce demos and MVPs to test solutions and demonstrate ideas. An iterative approach to problem-solving and seeking feedback is essential.

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.
• 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.

Requirements

• 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.
• Advocate for and enforce cross-functional technical and data requirements (e.g., GDPR, security, operability, etc.).
• 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 (e.g., AWS, Azure, GCP).
• Familiarity with cloud-native data architectures and technologies.
• 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.
• Good command of English.
• Collaboration skills are important for communication and understanding others.

Skills

• Data Engineering
• Architectural Leadership
• Data Products
• Data Services
• Data Architecture
• Data Ecosystem Design
• API Development
• Model Building
• Data Harmonisation
• Data Standardisation
• Data Governance
• Cloud Platforms
• Relational Databases
• NoSQL Databases
• Graph Databases
• Vector Stores
• Data Warehousing
• Data Modelling
• Cloud Data Platforms
• Cloud-Native Data Architectures
• Data Management
• AI
• Machine Learning
• MLOps
• Data Mesh
• Data Product Architecture

Salary/Compensations

• Competitive, industry-benchmarked salary

About the Company

• Springer Nature is an ambitious and dynamic organisation, home to some of the best-known names in research, educational, and professional publishing.
• We are at the heart of a changing industry, always looking for great people who care about delivering quality to our customers and the communities we work alongside.
• We offer 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.
• 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).
• Research and learning continue 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.