The Hermes Architecture team set the direction for the IT Strategy to enable the realisation of business outcomes required to deliver the business strategy.
The Data Architect role is required to work with the Enterprise Data Architect, business stakeholders the Enterprise Data Services team and the Software Engineers to be accountable for the physical data models and overseeing the delivery of new databases and updates to existing data domains. (The Enterprise Data Architect maintains the conceptual data model and governs the delivery against this vision.)
The Data Architect will provide advice to other Architects who have requirements related to data models, maintaining and communicating the data dictionaries and ensuring adherence to the Enterprise Architecture Standards.
You will be accountable for:
- Decision maker for the Data Design Authority and advisor to the Technical Design Authority.
- The Data Architect will seek to guide the Engineering Managers, and Squad Leads to understand and accept the benefits of well-controlled and maintained data models.
- Deliver the IT Strategy of centralising Customer, Client Contact, Courier and Employee Master data to improve customer experience and optimise legislative compliance.
- As required, through the ongoing business transformation, deliver the data domains described in the conceptual and logical data models.
- Provide consultancy where required but also short ‘lunch and learn’ deep dive sessions around a specific data domain with an opportunity for Q&A.
- Provide guidance and governance to the delivery teams to ensure best practice is followed when accessing operational data. Ensure the loose coupling of applications to data by abstracting database technologies with a service layer.
- Work with Engineering Teams and Database Administrators to advise on data retention and housekeeping.
- Provide business and technical ownership of the data tooling, reviewing existing tooling, e.g. Erwin and Lucidchart and evaluate new data tooling requirements.
- Be accountable for establishing and maintaining the data artefacts like the Business Glossary, Data Dictionary and Data Catalogue.
- Work with data stewards to ensure they have appropriate access and ownership of the business data.
The behavioural competencies within the Architecture team are aligned to the SFIA7 core responsibilities. The Data Architect role is aligned to the competency indicator 'Ensure, Advise', which is SFIA level 5.
SFIA Levels are broken down into four areas; Autonomy, Influence, Complexity, Knowledge and Business Skills. These competencies are designed to clearly show a progression path within a role.
Technical skills and knowledge requirements:
The skill competencies within the Architecture team are aligned to the SFIA7 core capabilities, and the Data Architect role is primarily aligned to the competency indicator 'Ensure', which is SFIA level 5.
Knowledge & Experience:
- Experience of producing new physical data models from logical models and, where necessary, creating physical models of existing databases.
- Working in mixed vendor multi-cloud environments with exposure to AWS.
- Experience with the evaluation and selection of new database technologies based on the required data profile.
- Working with Relational and NoSQL database technologies both hosted (IaaS) and managed (PaaS).
- Sets standards for data modelling and design tools and techniques, advise on their application and ensures compliance. Manages the investigation of corporate data requirements, and co-ordinates the application of data analysis, design and modelling techniques, based upon a detailed understanding of the corporate information requirements, to establish, modify or maintain data structures and their associated components (entity descriptions, relationship descriptions, attribute definitions). Manages the iteration, review and maintenance of data requirements and data models.
- Communicates fluently, orally and in writing, and can present complex information to both technical and non-technical audiences.
- Publishes information content selecting appropriate channels and formats for the stakeholder audience. Maintains and updates content management processes.
- Applies a range of analytical techniques in consultation with experts.
- Works under broad direction. Work is often self-initiated. Is fully responsible for meeting allocated technical and/or project/supervisory objectives. Establishes milestones and has a significant role in the assignment of tasks and/or responsibilities.
- Influences organisation, customers, suppliers, partners and peers on the contribution of own specialism. Builds appropriate and effective business relationships. Makes decisions which impact the success of assigned work, i.e
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