Data Technical Architect - Aspect Resources
Published: 4th July 2019
Job Type
Simon Nash
£700 Per Day


Title: Data Architect 
Rate: £700pd
location: Crewe 
Duration: 6 Months
The Hiring body has deemed this contract Out Of Scope


Our client is a leading Central Government body seeking a Data Architect for an initial 6 month contract to be based in Crewe Cheshire.

Data Architect Role Profile 
A data architect designs and data models to fulfil the strategic data needs of the business as defined by the Chief Data Architect. They undertake design, support and provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy. They provide input into data dictionaries. 
• oversee the design of multiple data models and have a broad understanding of how each model fulfils the needs of the business 
• are accountable for the definition of the organisation’s data strategy 
• champion data architecture across government, and set the standards and ways of working for the data architecture community 
• provide advice to project teams and oversee the management of the full data life-cycle 
• have responsibility for making sure that organisation’s systems are designed in accordance with the data architecture 

Essential capabilities 
Capability Description of capability Level of mastery What the level of mastery means 
Communicating between the technical and the non-technical Is able to communicate effectively across organisational, technical and political boundaries, understanding the context. Makes complex and technical information and language simple and accessible for non-technical audiences. Is able to advocate and communicate what a team does to create trust and authenticity, and can respond to challenge. Working Effectively translates and accurately communicates across technical and non-technical stakeholders. Facilitates discussions within a multidisciplinary team, with potentially difficult dynamics. 
Advocates for the team externally and manages differing perspectives. 
Data modelling Produces data models and understands where to use different types of data models. Understands different tools and is able to compare between different data models. Able to reverse engineer a data model from a live system. Understands industry recognised data modelling patterns and standards. Working Understands the concepts and principles of data modelling and is 
able to produce, maintain and update relevant data models for 
specific business needs. Reverse engineers data models from a 
live system. 
Data standards Develops and sets data standards for an organisation. Communicates the business benefit of data standards, championing and governing those standards across the organisation. Working Develops data standards for a specific component. Analyses 
where data standards have been applied or breached and 
undertakes an impact analysis of that breach. 
Metadata management Understands a variety of metadata management tools. Designs and maintains the appropriate metadata repositories to enable the organisation to understand their data assets. Working Works with metadata repositories to complete complex tasks 
such as data and systems integration impact analysis. Maintains a repository to ensure information remains accurate and up to date. 
Turning business problems into data design Works with business and technology stakeholders to translate business problems into data designs. Creates optimal designs through iterative processes, aligning user needs with organisational objectives and system requirements. Working Designs data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles. Works within the context of well understood architecture and identifies appropriate patterns. 

Desirable capabilities 
Capability Description of capability Level of mastery What the level of mastery means 
Data analysis and synthesis Translates data into valuable insights that inform decisions. Involves teams in analytics and synthesis to increase consensus and challenge assumptions. Identifies and utilises the most appropriate analytical techniques. Has an understanding of analytical tools and is numerate. Is aware of and keeps up to date with advances in digital analytics tools and data manipulation products. Collects, collates, cleanses, synthesises and interprets data to derive meaningful and actionable insights. Working Undertakes data profiling and source system analysis and can present clear insights to colleagues to support the end use of the data. 
Data communication Uses the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals. Presents, communicates and disseminates data appropriately and with high impact. Working Understands the appropriate mediums to communicate findings and shapes communications to the audience. 
Data governance Understands data governance and how it works in relation to other organisational governance structures. Participates in or delivers the assurance of a service. Working Understands what data governance is required. Capable of taking responsibility for the assurance of data solutions and making recommendations to ensure compliance. 
Facilitating  Decision and Risks Makes and guides effective decisions, explaining clearly how the decision  has been reached. Understands technical complexity and risks, runs collaborative design activities and influences others to build consensus. Working Makes decisions by categorising managed levels of risk and complexity, and recommends decisions as risk and complexity  increase. Capable of resolving technical disputes between wider peers and indirect stakeholders, taking into account all views and  opinions. Proactively and quickly involves others in design decisions.

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