At a Glance
- Tasks: Lead the design and implementation of enterprise data architecture for strategic decision-making.
- Company: Join a forward-thinking organisation focused on data governance and innovation.
- Benefits: Competitive salary, professional development, and opportunities for career advancement.
- Other info: Collaborate with senior stakeholders and work in a complex, multi-system environment.
- Why this job: Shape the future of data management and make a real impact in a dynamic environment.
- Qualifications: Master's degree in relevant field and 5+ years of experience in data architecture.
The predicted salary is between 70000 - 90000 £ per year.
We have an opportunity for you as an experienced and technically strong Corporate Data Architect to lead the design and implementation of the enterprise data architecture.
This is a critical role that will shape how data is structured, integrated and governed across the organisation, enabling consistent, high-quality data to support strategic decision‑making and service delivery.
Working closely with senior stakeholders and technical teams, you will define and maintain a scalable data architecture, establishing clear standards for data modelling, integration and governance.
You will lead the development of the Corporate Data Governance Framework and design approaches to managing data across complex environments, including structured and unstructured data, legacy systems and modern platforms.
This will include defining patterns for data warehousing, lakehouse architectures and API‑led integration.
Duties & Responsibilites
- Provide strategic leadership on data architecture, ensuring alignment with corporate priorities and wider transformation activity.
- Translate audit findings into architectural principles, policies, and standards covering data ownership, classification, retention, metadata, and lifecycle management.
- Identify architectural risks (e. g., unsupported systems, uncontrolled data stores, unclear ownership) and contribute to the prioritised remediation plan.
- Engage with senior stakeholders, translating business needs into clear architectural direction and practical solutions.
- Contribute to corporate planning and decision-making, ensuring data is recognised as a key organisational asset.
- Develop and maintain data standards, principles and governance frameworks to support consistent and effective use of data.
- Support the establishment of appropriate governance forums and decision-making structures for data.
- Build strong relationships across services to support collaboration and shared ownership of data.
- Provide guidance and assurance on data-related initiatives, ensuring alignment with agreed architecture and standards.
- Ensure compliance with relevant legislation and standards, including data protection and information security requirements.
- Contribute to financial planning by ensuring data solutions are cost-effective and deliver value for money.
- Support organisational resilience by ensuring data is managed, protected and recoverable in line with business needs.
- Design and govern enterprise data platforms, including cloud and hybrid architectures.
- Define data integration standards using APIs, ETL/ELT pipelines, event-driven and streaming architectures.
- Design and maintain data warehouses, lakehouses and modern analytical platforms.
- Define master data management, metadata management and data catalogue approaches.
Experience
- Master's degree in Data Science, Analytics, Information Management or Enterprise Architecture.
- 5+ years relevant experience.
- 3+ years architecture leadership experience
- Proven experience in data architecture, including designing enterprise-level data models and platforms
- Strong understanding of data governance, data management and regulatory requirements (e. g. GDPR)
- Ability to translate audit findings into architectural standards and long‑term governance structures
- Knowledge of modern data architecture patterns and approaches
- Understanding of local government and the wider public sector environment
- Awareness of emerging technologies including advanced analytics and AI
- Experience of working in complex, multi-system environments
Desirable
- The Open Group Architecture Framework (TOGAF)/Certified Data Management Professional (CDMP)
- ILM Leadership and Management Level 5
Corporate Data Architect employer: Opus People Solutions Ltd
Opus People Solutions Ltd is an excellent employer, offering a supportive work culture that prioritises sustainable outcomes for children and families. With a focus on professional development, employees have access to growth opportunities and the chance to make a meaningful impact in their community while working in a hybrid role that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Corporate Data Architect
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We think you need these skills to ace Corporate Data Architect
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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Craft a Tailored Cover Letter:For a full-time role at Opus People Solutions Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Opus People Solutions Ltd. 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 Opus People Solutions Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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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!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Opus People Solutions Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
