The Enterprise Architecture team, part of Technology, sits across all areas of the business from savings to mortgages to commercial lending to finance and reporting. We are a forward-looking team, working with colleagues to identify future changes and improvements to our banking platform.
As a Data Architect your work links the business mission, strategy, and processes of an organisation to its data strategy and documents this using multiple architectural models that show how Atom transitions from its current data state to meet the future needs of the organisation in a sustainable and adaptable manner.
You’ll partner with business and technical teams to craft highly scalable, flexible, and resilient solutions that address customer use cases and accelerate the adoption of Atom. In this role you’ll produce innovative strategic technology roadmaps and designs, communicate the approach effectively to senior stakeholders and balance delivery of early business value with strategic progression. This role will have a big impact by driving change through the adoption of appropriate technology and design principles.
What will your typical day look like? Different that’s for sure
Contribute to the future data architecture state and underlying infrastructure.
Advise on and contribute to the vision, strategy and principles for data management.
Define standards to support the full end to end data lifecycle within the Atom Enterprise.
Serve as the liaison between data consumer representatives and data solution development, integration and governance teams.
Understand how data is, or will be, used and the implication on people, process, products and technology.
Capture and share best-practice knowledge amongst the architecture community.
What do we need from you?
Demonstrable experience of Data Architecture.
An understanding of the latest Data Architecture and Engineering tools & techniques e.g Data-Intensive Distributed Systems, Big Data, Data Mesh & Data Streams.
Hands-on experience in design, development and deployment of data solutions and the integration of new technologies.
Expertise in Cloud Data and Information and Management tools & techniques.
In-depth knowledge of Data Modelling, ETL development and Database/Data Warehousing, Structured and Unstructured data.
Experience with either relational SQL or analytics databases, such as Postgres, Cassandra & BigQuery.
Familiarity with DataOps and Data deployments across Cloud, on-premise and Hybrid technology estates, specifically Google Cloud.
RFP/Vendor-selection experience.