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- Tasks: Design GDPR-compliant data architectures and lead integration and migration initiatives.
- Company: Dynamic tech firm in Glasgow offering a flexible work environment.
- Benefits: Attractive daily rate of £700, with remote work options.
- Why this job: Shape the future of data privacy while working on innovative projects.
- Qualifications: 15+ years IT experience with strong data architecture skills required.
- Other info: Collaborate with diverse teams and enjoy excellent career growth opportunities.
The predicted salary is between 56000 - 84000 £ per year.
We are seeking an experienced Data Architect who can define, govern, and deliver GDPR compliant enterprise data architectures across relational (Oracle), NoSQL, unstructured data platforms, and Data Warehouse. The ideal candidate will possess strong expertise in data integration, migration, and centralisation initiatives, ensuring privacy by design across complex, distributed data landscapes.
Key Responsibilities:
- Data Architecture & Modelling: Define enterprise data architecture aligned with GDPR and organisational data strategy. Design conceptual, logical, and physical data models for relational databases (e.g., Oracle), NoSQL databases (e.g., MongoDB), and unstructured data. Establish standards for data classification, metadata, and ownership across structured and unstructured data. Ensure data models support traceability, lineage, and regulatory reporting.
- Data Governance: Architect privacy by design and privacy by default solutions. Define data retention, archival, anonymization, and deletion strategies across all data stores. Design architectures supporting DSAR, right to erasure, and consent management. Define security architecture including role-based access control (RBAC), column/row level security, data masking, tokenization, and encryption. Ensure compliance across cloud, hybrid, and on-premises environments.
- GDPR & Regulatory Compliance: Architect solutions fully aligned to GDPR and applicable regulatory frameworks. Implement and operationalize key compliance capabilities: data retention & archival policies, right to erasure/data subject rights, data minimization, security & access controls, auditability, traceability & data lineage. Work with Risk and Compliance teams to translate regulatory needs into technical design.
- Data Integration & Enterprise Connectivity: Design and govern enterprise data integration architectures using ETL/ELT frameworks, API-based integration, event-driven and streaming integration, message queues and middleware. Define integration patterns for real-time, near real-time, and batch processing. Ensure consistent data movement while preserving lineage, quality, and compliance.
- Data Migration & Centralisation: Lead data migration initiatives from legacy and distributed systems to centralised platforms such as enterprise data warehouses, data lakes, and MDM. Define migration strategies including data profiling and cleansing, PII identification and remediation, and incremental and phased migrations. Ensure minimal business disruption and full GDPR compliance during migration. Validate post-migration data quality, security, and accessibility.
- Collaboration & Oversight: Provide architectural leadership and guidance to Data Engineers and Platform teams. Work closely with Legal, Compliance, Security, and Risk teams. Support GDPR audits, regulatory assessments, and architectural reviews. Define and maintain architecture standards, patterns, and documentation.
Required Skills & Experience:
- 15+ years of overall IT experience, with at least 5+ years of hands-on experience in enterprise data architecture, design, governance, and implementation.
- Strong experience designing and implementing enterprise-grade ETL/ELT data pipelines. Hands-on experience with tools such as SQL, NoSQL Datastores, Talend, Informatica, IBM DataStage, or equivalent platforms, Collibra, Data Lineage, Alfresco.
- Proven experience acting as an enterprise or lead data architect within a large, multinational organisation across the disciplines of metadata management, data quality, data warehousing, reporting & analytics, and data governance.
- Strong knowledge of data modelling techniques (conceptual, logical, and physical).
- Excellent communication and stakeholder management skills.
- Solid understanding of SDLC methodologies including Agile, DevOps, rapid prototyping, and iterative delivery models.
- Ability to assess and estimate the financial impact of technology decisions.
- Capability to evaluate emerging technologies and understand their impact on business models.
GDPR Data Architect in Glasgow employer: BrightBox Group
Contact Detail:
BrightBox Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GDPR Data Architect in Glasgow
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience with data architecture, GDPR compliance, and any relevant projects. This can be a game-changer during interviews, as it gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of data integration, migration strategies, and GDPR regulations. Practising your responses will help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace GDPR Data Architect in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the GDPR Data Architect role. Highlight your experience with data architecture, GDPR compliance, and any relevant tools you've used. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've implemented data governance or migration strategies. We love seeing real-world examples of your work, especially if they demonstrate your ability to handle complex data landscapes.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's necessary. We appreciate straightforward communication that gets to the heart of your experience.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at BrightBox Group
✨Know Your GDPR Inside Out
Make sure you brush up on GDPR regulations and how they apply to data architecture. Be ready to discuss how you've implemented privacy by design in past projects, as this will show your understanding of compliance and its importance in data management.
✨Showcase Your Technical Skills
Prepare to talk about your hands-on experience with tools like SQL, NoSQL databases, and ETL/ELT frameworks. Bring examples of data models you've designed and how they supported traceability and compliance, as this will demonstrate your technical expertise.
✨Collaboration is Key
Highlight your experience working with cross-functional teams, especially with Legal, Compliance, and Risk departments. Share specific instances where your collaboration led to successful project outcomes, as this will show your ability to work within a larger organisational context.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in data migration or governance and how you overcame them, as this will illustrate your practical experience and strategic thinking.