At a Glance
- Tasks: Shape the future of data by designing enterprise-wide data models and governance frameworks.
- Company: Join a leading organisation investing in advanced analytics and data capabilities.
- Benefits: Competitive salary up to £87,000, remote work, and opportunities for professional growth.
- Other info: Collaborate with tech teams in an agile setting and promote best practices.
- Why this job: Make a real impact on data architecture and drive innovation in a dynamic environment.
- Qualifications: Strong experience in Data Architecture, Data Modelling, and cloud-based platforms.
The predicted salary is between 72000 - 88000 £ per year.
- SENIOR DATA ARCHITECT
- REMOTE (UK)
This is an opportunity to play a pivotal role in shaping the future of data within a large, complex organisation that is investing heavily in its analytics and data capabilities.
You will take ownership of enterprise data modelling and architecture, helping to transform how data is structured, governed, and consumed across the business.
ROLES AND RESPONSIBILITIES
The Senior Data Architect will
- Design and govern enterprise-wide data models across bronze, silver and gold layers within a Medallion Architecture.
- Create scalable curated data models using dimensional modelling, star schemas, facts and dimensions, and Kimball methodologies.
- Define semantic data layers, modelling standards, and governance frameworks to improve consistency, quality, and reusability.
- Manage logical and physical data models, including metadata, business glossaries, data flows, and data storage.
- Partner with Data Engineers, Analytics Engineers, and wider technology teams to deliver data solutions through an agile environment.
- Provide architectural assurance for business-critical programmes and ensuring alignment with enterprise data strategy.
- Promote data architecture best practice through consultancy, mentoring, and technical leadership.
- Support the evolution from traditional reporting towards predictive and prescriptive analytics capabilities.
YOUR SKILLS AND EXPERIENCE
- Strong hands-on experience in Data Architecture and Data Modelling within enterprise-scale environments.
- Excellent knowledge of dimensional modelling, star schemas, semantic layers, and Kimball methodologies.
- Experience designing and implementing curated data models within cloud-based data platforms.
- Strong understanding of logical, physical, transactional, analytical, and relational data modelling approaches.
- Experience establishing architecture standards, governance frameworks, and data management best practices.
- Knowledge of metadata management, data quality, data governance, and master data management principles.
- Strong stakeholder management skills with the ability to influence both technical and business leaders.
- Experience working within Azure-based ecosystems and Data Lakehouse architectures.
- Financial Services, Professional Services or Legal industry (desirable)
APPLY BELOW!
Senior Data Architect in Warrington employer: Harnham
As a leading specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering Consultants to thrive. With a focus on professional development, we offer extensive growth opportunities and the chance to work on high-impact projects across diverse industries, all while enjoying the flexibility of remote work in the UK. Join us to be part of a team that values your expertise and encourages you to influence strategy and drive meaningful change for our clients.
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We think this is how you could land Senior Data Architect in Warrington
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We think you need these skills to ace Senior Data Architect in Warrington
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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✨Brush Up on Your Statistics
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✨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.
