At a Glance
- Tasks: Design and optimise Master Data Management solutions in a dynamic, remote-friendly environment.
- Company: Join a leading consultancy making a real impact in society.
- Benefits: Enjoy 25 days off, private medical insurance, and wellness support.
- Other info: Collaborative culture with opportunities for professional growth and development.
- Why this job: Be part of exciting projects that shape the future of data management.
- Qualifications: 5+ years in MDM with strong Azure and Purview experience required.
This role will be mainly remote but require flexibility to travel to client sites, and our offices are based in London, Sheffield, and Bristol. Salary: £75k to £80k.
Strong understanding of Master Data Management principles, including:
- Domain identification
- Golden record design
- Survivorship rules
- Matching and merging
- Reference data
- Data ownership
- Stewardship and data quality controls
Ability to assess enterprise data domains and prioritise MDM use cases based on business value, risk, feasibility, data quality and implementation complexity.
Experience defining MDM operating models, including:
- Governance structures
- Stewardship roles
- Decision rights
- Escalation routes
- Data standards
- Ongoing service management
Strong Microsoft Azure data platform knowledge, ideally including:
- Azure Data Lake
- Microsoft Fabric
- Azure SQL
- Synapse
- Databricks
- Integration services
- Power BI
- Common enterprise integration patterns
Hands-on knowledge of Microsoft Purview, including:
- Data discovery
- Scanning
- Catalogue design
- Glossary or business concept modelling
- Lineage
- Classification
- Sensitivity labelling
- Data estate health
- Governance workflows
Ability to evaluate tooling options and produce balanced recommendations covering:
- Capability fit
- Architecture
- Security
- Cost
- Licensing
- Implementation effort
- Operational complexity
- Future scalability
Experience assessing data quality across source systems and defining practical remediation approaches, including:
- Profiling
- Rule definition
- Issue management
- Ownership
Strong understanding of metadata management, including:
- Business metadata
- Technical metadata
- Operational metadata
- Lineage
- Cataloguing
- Enterprise metadata models
- Integration with wider data governance
Ability to map dependencies across technology, process, people, governance, security, data architecture, integration and reporting layers.
Experience creating pragmatic implementation roadmaps, including:
- Sequencing
- Phases
- Work packages
- Dependencies
- Risks
- Assumptions
- Costs
- Benefits
Strong consulting skills, including:
- Workshop facilitation
- Senior stakeholder engagement
- Structured analysis
- Clear written communication
- Production of concise, high-quality client deliverables
Ability to work in secure or regulated environments and understand the importance of information governance, data protection, access control and auditability.
Requirements:
- 5+ years’ experience designing, implementing and optimising Master Data Management solutions
- Strong experience delivering MDM solutions in Microsoft Azure environments
- Practical experience with Microsoft Purview, including data catalogue, lineage, classification, data governance and information protection capabilities
- Eligibility for UK security clearance
- Microsoft SC-400 certification, or demonstrable equivalent experience aligned to Microsoft Purview information protection, data loss prevention and information governance
- Consulting experience, including stakeholder engagement, discovery workshops, current-state assessment, option appraisal, roadmap development and production of client-facing deliverables
Desirable:
- Experience working with UK public sector organisations or similarly complex, regulated environments
- Experience delivering MDM, data governance or metadata management work within central government, healthcare, housing, education, policing, defence or wider public services
- Experience with Microsoft Fabric and its interaction with Purview, OneLake, Power BI semantic models and governed analytics environments
- Experience developing business cases or investment cases for data governance, MDM, metadata management or enterprise data platform initiatives
- Experience defining data governance models aligned to UK data protection, information assurance, records management or public sector security expectations
- Knowledge of data architecture patterns for Customer 360, Citizen 360, Supplier 360, Asset 360, Product 360 or other master-data-led analytical and operational use cases
- Experience with complementary MDM or metadata tooling beyond Microsoft Purview, such as Profisee, Informatica, Reltio, Semarchy, Collibra, Atlan or Alation
- Experience supporting implementation planning beyond strategy, including mobilisation, backlog definition, delivery governance, testing approach, adoption planning and early life support
- Experience working in consultancy or supplier-side delivery teams, with the ability to represent Methods credibly with senior client stakeholders
This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview.
Benefits:
- Development access to LinkedIn Learning, a management development programme and training
- Wellness 24/7 Confidential employee assistance programme
- Social - Breakfast Tuesdays, Thirsty Thursdays and Pizza on the last Thursday of each month as well as commitment to charitable causes
- Time off 25 days a year
- Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
- Life Assurance of 4 times base salary
- Private Medical Insurance which is non-contributory (spouse and dependants included)
- Worldwide Travel Insurance which is non-contributory (spouse and dependants included)
Master Data Management Architect in Sheffield employer: Methods
As a Master Data Management Architect with us, you'll thrive in a dynamic and supportive environment that champions professional growth and innovation. Our flexible remote working model, combined with opportunities to engage in impactful projects across London, Sheffield, and Bristol, ensures you can balance work and life while contributing to meaningful societal change. Enjoy comprehensive benefits including private medical insurance, wellness programmes, and a commitment to your continuous development through training and leadership access.
StudySmarter Expert Advice🤫
We think this is how you could land Master Data Management Architect in Sheffield
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We think you need these skills to ace Master Data Management Architect in Sheffield
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 Methods. 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 Methods
✨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 Methods!
✨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.
