Data Solution Architect

In this role, you will:

• Architect scalable and secure data solutions as required.
• Take on general solution architecture tasks and deliverables as part of the wider Solution Architecture team where required.
• Develop logical and physical data models to meet business requirements, contributing to conceptual models where required.
• Collaborate with business analysts and application teams to gather and understand data requirements.
• Create clear and effective data models, solutions and architectures, ensuring alignment with the overall data architecture and project goals.
• Ensure that the data architecture and models support real-time, near-real-time and batch data processing where needed.
• Ensure smooth data integration and flow across various platforms and systems, including integration of data sources into data refineries for analysis and reporting.
• Provide training and support to other teams in understanding, using and implementing data models and architecture.
• Ensure data models maintain high standards of data integrity, accuracy, and consistency.
• Develop and implement best practices for data modelling, including naming conventions, documentation, and version control.
• Create and maintain comprehensive documentation, including Solution Design Documents, entity-relationship diagrams and data dictionaries.
• Ensure that architectures and models are reviewed and approved at the appropriate forums.

Requirements

To be successful in this role, you should meet the following requirements:

• Demonstrable experience in solution architecture, data modelling and data architecture.
• Demonstrable experience preparing and presenting architecture governance artefacts to design boards.
• Experience providing feedback and technical knowledge to facilitate peer review of architectures.
• Using architecture patterns to accelerate decisions and design.
• Proficiency in data modelling tools such as ER Studio, ERWIN or Visual Paradigm.
• Strong understanding of database systems, including relational (SQL) and non-relational (NoSQL) databases.
• Familiarity with ETL processes and data integration tools.
• Experience with cloud-based (GCP, AWS, Azure), on-prem and hybrid data architectures and solutions.
• Strong analytical and problem-solving skills.
• Excellent communication and documentation abilities.
• Ability to collaborate with technical and non-technical teams.

In addition to the above, the following background experience would be highly beneficial:

• Consultancy / customer facing experience within a software vendor or enterprise scale services environment.
• Financial Services domain knowledge with practical experience of mobilizing technology to meet the market dynamics effecting the financial services domain (Risk / Cost / Customer).
• A track record of successful refactoring / tech-debt remediation projects.
• Exposure or experience of big data and big data technologies.

High Level & Holistic Capabilities sought:

• Experience in digital and broader architectural transformation, applying solutions from experience, decomposing monolithic solutions and applying methods to manage technical debt.
• Experience working with enterprise architectures, translating those into solution and data architectures.
• Adherence to architecture governance practices and procedures.
• Experience, knowledge and understanding of enterprise level software development.
• Ability to participate in technical design and oversee all technology related issues of cloud native product development, promoting API reuse and managing down technical debt across the enterprise.