Data Architect

Integrated Care System; North East; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A national healthcare organization is looking for a Data Architect to join their team. This role involves analyzing data models, collaborating with product teams, and developing data standards to enhance data management across NHSBSA. Candidates with strong problem-solving skills and a background in data governance are encouraged to apply. The organization offers flexible working options and opportunities for professional growth.

Benefits

27 days leave plus 8 bank holidays

Flexible working options

Hybrid working model

Wellbeing and inclusion networks

NHS Car lease scheme

High street discounts and benefits

Qualifications

• Experience with large datasets and relational databases.
• Experience with data governance and quality tools.
• Knowledge of data warehousing.

Responsibilities

• Review critical data assets and catalog data sources.
• Define data requirements with product teams.
• Implement data solutions in line with strategy.

Skills

Understanding of data modeling principles

Ability to analyze and synthesize data

Knowledge of data governance and assurance

Problem-solving and decision-making skills

Excellent communication skills

Relationship-building skills

Education

IT degree or equivalent

Tools

Business intelligence tools

ETL processes

Job description

If you are passionate about data and understand its power to make a difference, the NHS Business Services Authority (NHSBSA) has an exciting opportunity for you!

We are seeking a Data Architect to join our Digital, Data & Technology Directorate. This role offers a chance to advance your career while supporting the NHS. Ideal candidates are problem solvers, relationship builders, and possess outstanding technical data architecture skills.

You will be part of the Data Strategy & Governance team within a newly developed data architecture function. Your responsibilities include analyzing data models, identifying gaps, and recommending improvements. You will help design, develop, and implement data principles and standards across NHSBSA. Enthusiasm, logical thinking, and a drive to succeed are essential.

What we offer:

• 27 days leave (increasing with service) plus 8 bank holidays
• Flexible working options
• Hybrid working model
• Wellbeing and inclusion networks
• NHS Car lease scheme
• High street discounts and benefits

Main duties:

1. Review NHSBSA's critical data assets and catalog data items and sources
2. Work with product teams to define data requirements based on data architecture standards
3. Manage the repository of NHSBSA's data assets and define/manage data standards
4. Develop data models and technical design documentation
5. Research emerging technologies and best practices
6. Design and maintain metadata repositories
7. Collaborate with partners to ensure solutions meet architectural principles
8. Provide SME input on data architecture standards and policies
9. Evaluate external technical proposals and recommend implementations
10. Explain data modeling concepts and produce relevant data models
11. Contribute to proposals for change, including estimates and business cases

About us:

NHSBSA manages NHS pensions, processes prescriptions, and more. We serve NHS organizations, contractors, and the public, making a meaningful impact on millions of lives. We value collaboration, adventure, reliability, and energy, fostering a supportive and inclusive environment. We promote wellbeing, diversity, and flexible working to support your growth.

Join us in delivering excellence to the NHS. Apply today and discover where NHSBSA can take you.

Job responsibilities:

Accountabilities include:

1. Review critical data assets and catalog data sources
2. Define data requirements with product teams
3. Manage data asset repository and standards
4. Implement data solutions in line with strategy
5. Develop data models to meet needs
6. Identify cost-effective solutions
7. Research emerging technologies
8. Create technical design documentation
9. Design metadata repositories
10. Manage data profiling and source analysis
11. Recommend technology platforms for data linkage
12. Develop project requirements and business cases
13. Collaborate across functions to ensure solution adherence
14. Provide SME input on standards and policies
15. Evaluate external proposals
16. Maintain and update data models
17. Support talent development within the team
18. Contribute to business planning and budgeting
19. Develop data use demonstrations using BI tools
20. Support governance and data services
21. Design architecture considering all data users
22. Set data standards across subject areas

Additional expectations:

1. Undertake additional duties as needed
2. Demonstrate NHSBSA values and promote safety and inclusion
3. Follow policies and protocols

Working relationships:

Responsible to: Enterprise Data Architect

Key relationships include team members, stakeholders, managers, service teams, suppliers, and networks.

Person Specification:

Qualities, Skills, and Knowledge:

• Understanding of data modeling principles
• Ability to analyze and synthesize data
• Knowledge of data governance and assurance
• Skills in translating business problems into data designs
• Problem-solving and decision-making skills
• Coaching and mentoring abilities
• Excellent communication skills
• Enthusiasm and resourcefulness
• Ability to manage adversity
• Relationship-building skills
• Understanding of data linkage methodologies
• Knowledge of DAMA DMBOK

Experience:

• Database development and administration
• Working with large datasets and relational databases
• Gathering and documenting requirements
• Experience with business intelligence and reporting tools
• Knowledge of data warehousing and ETL processes
• Experience with big data tools
• Working with standard terminologies like SNOMED CT
• Data linkage and validation experience
• Understanding of GDPR
• Experience with data governance and quality tools

Qualifications:

• IT degree or equivalent with relevant experience in data architecture, system design, analysis, or modeling
• Knowledge of GDS principles
• Experience working in agile environments