Overview
Location: Glasgow (Remote with adhoc visit)
Vetting: SC or DV security clearance will be required
Description: Sets the vision for the organisations use of data, through data design, to meet business needs. Designs and builds data models to fulfil the strategic data needs of the business as defined by chief data architects. Design, support and provide guidance for the upgrade, management, de-commission and archive of data in compliance with data policy; provide input into data dictionaries.
Responsibilities
* Sets the vision for the organisations use of data, through data design, to meet business needs.
* Designs and builds data models to fulfil the strategic data needs of the business as defined by chief data architects.
* Design, support and provide guidance for the upgrade, management, de-commission and archive of data in compliance with data policy; provide input into data dictionaries.
* Initiate actions, monitor services and identify trends to resolve problems.
* Design data architecture to address specific business problems.
* Work with data product teams (staff and other suppliers) who have a range of data knowledge and competence. Your ability to consult and represent the data architecture function is key to define how teams can deliver good data architecture.
Qualifications
* Translate and accurately communicate across technical and non-technical stakeholders.
* Undertake data profiling and source system analysis.
* Responsibility for the assurance of data solutions and make recommendations. Aware of opportunities for innovation with new tools.
* Produce, maintain and update relevant data models. Knowledge of modelling frameworks and standards (UML, TOGAF etc) and tools (MooD, Visio, erwin).
* Develop data standards for a specific component (relational, dimensional, patterns, FAIR principles etc, x-gov and industry best practices and standards).
* Work with metadata repositories to complete complex tasks (MS Purview).
* Knowledge of Microsoft Purview of benefit and familiarity with Microsoft data technologies, from PaaS (SQL Server, Synapse) to SaaS (Fabric), and Databricks is required. Knowledge of the Microsoft stack and Databricks or the ability to learn new technologies quickly and how your baseline data architecture skills can be applied.
* Knowledge of a range of data patterns and data types - relational, dimensional, structured and unstructured data, medallion architecture pattern, API patterns, security, integrations.
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