Senior Data Architect

Main Duties & Responsibilities

Your role as Senior Data Architect will include the following activities:

• Analyse and translate business need into sustainable data flows.
• Evaluate, understand, and document existing data systems.
• Assess the impact of change, and effectively communicate data design and change implications.
• Collaborate with and guide multiple stakeholders on data-centric initiatives.
• Maintain a broad knowledge of our existing and planned data estate.
• Stay current on modern data tooling, select, and evaluate options as needed.
• Optimize how data is stored and moved through UKHSA, aligning with strategic objectives and operational efficiency.
• Address specific data challenges within a governmental/health context.
• Provide thought leadership, patterns, and best practices across diverse data domains.
• Communicate effectively with both technical and non-technical audiences.
• Manage processes related to data architecture, ensuring adherence to standards, policies, and best practices.

The aforementioned list outlines the tasks, responsibilities, and expected outcomes associated with the role. The job incumbent is expected to perform any additional duties not explicitly listed but reasonably required by their line manager.

The post holder will also develop working relationships and communicate regularly with a wide range of individuals, clinical and non-clinical, internal, and external to UKHSA. These will include;

Internal

• Heads of, and division directors across data and analytics groups

• Architecture leadership such as the

• Head of Enterprise Data

• Head of Data Architecture

• Data Design & Architecture Lead Solution Architect

• Head of Enterprise Architecture

• Domain Enterprise architects including data, security, and integration

• Other technical leaders and subject matter experts

• Business leaders and process owners

• Scientists and health experts

• Transformation Program technical and programme leadership

External

• Central government departments such as DHSC
• IT software vendors and partners
• System Integrators and other consultancies
• Industry wide specialist working groups

Other government and non-governmental organisations such as the NHS, ONS, Devolved Nations bodies

Essential Criteria:

Communicating between technical and non-technical subjects:

• Interpreting technical needs of business stakeholders into designs they can understand
• Managing active and reactive communication
• Supporting difficult discussions within the team or with diverse senior stakeholders
• Guiding multiple stakeholders on data-centric initiatives, fostering effective communication and understanding
• Engaging collaboratively with heads of data and analytics groups, architecture leadership, solution architects, and other esteemed technical leaders
• Leading process development and ensuring that relevant parties contribute to and follow process guidance as required.

Data governance:

• Evolving and defining data governance requirements and implementation patterns
• Taking responsibility for supporting and collaborating around wider governance
• Assuring data services to meet the needs of multiple business services
• Working proactively to ensure the organisation designs architecture that considers data efficiency and sustainability
• Conducting evaluations of existing data systems
• Providing roviding comprehensive documentation and detailed data component analysis
• Championing opportunities for enhancing current data architecture
• Offering strategic recommendations for performance optimization

Data modelling and design:

• Producing relevant data models across multiple subject areas
• Explaining which models to use for which purpose
• Understanding industry-recognised data modelling patterns and standards, and when to apply them
• Comparing the development and optimization of sophisticated data models
• Establishing design patterns and blueprints for data solutions, integrating the latest industry best practice

Data standards:

• Develop and set data standards across multiple subject areas

Metadata management

• Designing metadata repositories and standards
• Understanding a range of tools for storing and working with metadata

Turning business problems into data design

• Designing data architecture that deals with problems spanning different business areas
• Identifying similarities between problems to devise common solutions

Desirable Criteria:

Data analysis and synthesis

• Data profiling and source system analysis
• Presenting clear insights to colleagues to support the end use of the data

Data innovation

• Understanding the impact on the organisation of emerging trends in data tools, analysis techniques and data usage

Strategic thinking

• Working within a strategic context and communicate how activities meet strategic goals

Enterprise Tooling

• Experience with several of the following tooling or tool equivalents: LeanIX, Erwin Data Modeller, AWS, Azure, SQL Server, RedShift, JIRA, Confluence, Draw IO, Visio, Collibra, Informatica

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