A data architect sets the vision for the organisation's use of data, through data design, to meet business needs.
Skills required to be a data architect
You will need the following skills for this role, although the level of expertise for each will vary, depending on the role level.
Data analysis and synthesis. You can translate data into valuable insights that inform decisions. You involve teams in analytics and synthesis to increase consensus and challenge assumptions. You can identify and use the most appropriate analytical techniques, and you have an understanding of analytical tools. You are numerate. You are aware of and keep up to date with advances in digital analytics tools and data manipulation products. You collect, collate, cleanse, synthesise and interpret data to derive meaningful and actionable insights.
Data communication. You use the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals. You present, communicate and disseminate data appropriately and with high impact.
Data governance. You understand data governance and how it works in relation to other organisational governance structures. You participate in or deliver the assurance of a service.
Data innovation. You recognise and exploit business opportunities to ensure more efficient and effective performance of organisations. You explore new ways of conducting business and organisational processes.
Data modelling. You can produce data models and understand where to use different types of data models. You understand different tools and can compare between different data models. You can reverse-engineer a data model from a live system. You understand industry-recognised data-modelling patterns and standards.
Data standards. You can develop and set data standards for an organisation. You can communicate the business benefit of data standards, championing and governing those standards across the organisation.
Metadata management. You understand a variety of metadata management tools. You can design and maintain the appropriate metadata repositories to enable the organisation to understand their data assets.
Strategic thinking (data architecture). You have an overall perspective on business issues, events and activities, and an understanding of their wider implications and long-term impact. This could include determining patterns, standards, policies, roadmaps and vision statements. You focus on outcomes rather than solutions and activities.
Turning business problems into data design. You can work with business and technology stakeholders to translate business problems into data designs. You can create optimal designs through iterative processes, aligning user needs with organisational objectives and system requirements.
A data architect designs and builds data models to fulfil the strategic data needs of the business as defined by chief data architects. At this level, you will:
undertake 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
Skills needed for this role
Communication skills (data). You can effectively translate and accurately communicate across technical and non-technical stakeholders as well as facilitate discussions within a multidisciplinary team, with potentially difficult dynamics. You can advocate for the team externally and can manage differing perspectives.
Data analysis and synthesis. You undertake data profiling and source system analysis. You can present clear insights to colleagues to support the end use of the data.
Data communication. You know that data needs to be aligned to the needs of the end user. You can create basic visuals and presentations.
Data governance. You understand what data governance is required. You can take responsibility for the assurance of data solutions and make recommendations to ensure compliance.
Data innovation. You are aware of opportunities for innovation with new tools and uses of data.
Data modelling. You can explain the concepts and principles of data modelling and can produce, maintain and update relevant data models for specific business needs. You can reverse-engineer data models from a live system. (Relevant skill level: working)
Data standards. You know how to develop data standards for a specific component. You can analyse where data standards have been applied or breached and undertake an impact analysis of that breach.
Metadata management. You work with metadata repositories to complete complex tasks such as data and systems integration impact analysis. You maintain a repository to ensure information remains accurate and up to date. (Relevant skill level: working)
Problem resolution (data).
You respond to problems in databases, data processes, data products and services as they occur. You initiate actions, monitor services and identify trends to resolve problems. You determine the appropriate remedy and assist with implementation of it as well as preventative measures.
Strategic thinking (data architecture). You know about the strategic context of your work and why it is important. You can support strategic planning in an administrative capacity.
Turning business problems into data design. You design data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles. You work within the context of well understood architecture and can identify appropriate patterns.
People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy.
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