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. Skills: Data Modelling, Data Architecture, Cloud, ELT Experience: 10.00-20.00 Years