At a Glance
- Tasks: Lead data architecture projects and mentor a team of data professionals.
- Company: People-first tech consultancy transforming UK healthcare and public sector.
- Benefits: Competitive salary, hybrid working, and strong career development support.
- Other info: Join a collaborative team focused on knowledge sharing and growth.
- Why this job: Shape cutting-edge data solutions and influence technical strategy for high-profile clients.
- Qualifications: Experience in data architecture and strong client engagement skills required.
The predicted salary is between 75000 - 90000 £ per year.
Senior Data Architecture role at a leading UK technology consultancy with a focus on UK Healthcare and Public Sector. Hybrid working with UK-wide project exposure. Salary £75,000 to £90,000. UK work authorisation required.
About the Company
Our client is a well-established, people-first technology consultancy delivering digital transformation at scale across the UK and beyond. They work with major public sector and healthcare clients and are recognised for the quality of their delivery and the strength of their talent. The majority of their work comes through repeat business and direct referrals, a testament to the calibre of their teams. With a growing Data and AI capability, this is an organisation where ambitious technologists can do some of the most interesting data work in the UK.
The Role
This is a senior Data Architecture position for a technical leader who can operate with confidence at both project and enterprise level. You will serve as a subject matter expert across core data architecture disciplines, working directly with clients to understand complex data requirements and shape solutions that are fit for purpose. Alongside delivery, you will manage, coach and develop a small team of data professionals, taking genuine ownership of their performance and career growth.
Key Responsibilities
- Provide SME-level guidance across data modelling, data flows, data sourcing, transformation, migration and governance.
- Work closely with clients to understand data requirements and ensure solutions are designed to meet them.
- Deliver technical leadership and assurance across data project workstreams, setting standards and best practice.
- Operate at enterprise or solution level to resolve data definition and master data challenges across complex stakeholder environments.
- Lead product and technology selection decisions at project or enterprise scale.
- Engage with both technical and non-technical client stakeholders, providing thought leadership and inspiration.
- Manage, coach and develop a small team of Data professionals, supporting performance and career development.
- Contribute to the growth of the wider Data and AI capability and community.
What You'll Need
Essential:
- Commercial experience working across the UK Healthcare or Public Sector.
- Strong technical design expertise across data modelling, metadata management, data transformation, data migration and master data.
- Proven track record of providing technical leadership on data projects, including assurance, mentoring and standards definition.
- Experience of product or technology selection at project or enterprise level.
- Excellent client engagement skills across technical and non-technical audiences.
- Proficiency in at least three mainstream data technologies, with awareness of broader data technology trends.
- Demonstrated ability to manage, coach and develop junior team members.
Desirable:
- Experience defining information handling models and capacity planning across heterogeneous data store technologies.
- Experience establishing data governance processes and frameworks.
- Experience architecting data lake solutions and wider data lake ecosystems.
- Enterprise Data Architecture experience.
Why Apply?
- Salary of £75,000 to £90,000.
- Senior leadership role with real influence over technical strategy and delivery standards.
- Work on a growing portfolio of cutting-edge data and AI projects for high-profile clients.
- People-first culture where your ideas are valued and your growth is actively supported.
- Strong team and community around Data and AI, with a focus on knowledge sharing and development.
- Hybrid working with a collaborative, ambitious team environment.
Interested? For a confidential conversation about this opportunity, connect with Justin Donaldson on LinkedIn or submit your CV via the link below.
Data Architect in Lisburn employer: Ocho
Our client is a leading technology consultancy that prioritises its people, offering a dynamic work environment where innovative ideas are encouraged and professional growth is actively supported. With a focus on the UK healthcare and public sector, employees benefit from engaging in impactful projects while enjoying hybrid working arrangements and a strong community centred around Data and AI. This is an excellent opportunity for ambitious technologists to make a significant contribution and advance their careers in a collaborative setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Lisburn
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We think you need these skills to ace Data Architect in Lisburn
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ocho. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ocho
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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