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- Tasks: Shape and own the enterprise data architecture vision and strategy.
- Company: Leading organisation transforming their data landscape with innovative solutions.
- Benefits: Up to ÂŁ85,000 salary, bonus, generous pension, and remote work options.
- Why this job: Make a real impact in a dynamic environment while shaping data architecture.
- Qualifications: Proven experience as a Data Architect in regulated industries.
- Other info: Opportunity for career growth and collaboration with external partners.
The predicted salary is between 60000 - 85000 ÂŁ per year.
The Role: Data Architect
Location: Remote / Birmingham
Salary: Up to ÂŁ85,000 + bonus + generous pension
VIQU have partnered with a leading organisation undergoing a large scale brownfield transformation, replacing an existing SAP platform with a modern, scalable solution (with technologies yet to be decided). This role would suit a pragmatic Data Architect who has previously designed and built a greenfield or brownfield platform with a high level of autonomy. The organisation is currently relatively immature from a data architecture perspective, so the ideal candidate must be comfortable operating with ambiguity and shaping direction. Experience within a highly regulated industry would be advantageous.
Key Responsibilities of the Data Architect:
- Own and shape the enterprise data architecture vision, strategy and maturity roadmap.
- Design the end-to-end data platform, including data models, data lakes, warehouses and integrations.
- Define data standards and establish a robust data governance framework, developing data quality and security standards in line with regulatory requirements.
- Ensure readiness for AI/ML integration.
- Evaluate emerging tools, cloud platforms and analytics technologies.
- Work with external partners to establish a “single version of the truth” across the industry and enable secure data sharing.
Requirements:
- Proven experience as a Data Architect, having previously shaped or matured an organisation’s data landscape.
- Experience within a regulated industry (e.g. utilities, finance, defence).
- Energy/utilities experience (gas, water, power, electricity) would be highly desirable.
- Broad knowledge of modern data platforms (AWS, Azure, GCP, Snowflake, Databricks).
- Experience working within SAP environments/modules (e.g. S/4 HANA, RISE) would be advantageous.
- Strong data modelling expertise.
- Comfortable working through ambiguity and able to communicate architectural decisions at a senior level.
Apply now to speak with VIQU IT in confidence.
Data Architect in Birmingham employer: VIQU Limited
Contact Detail:
VIQU Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Birmingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data architecture. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects and achievements as a Data Architect. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Think about how you've tackled ambiguity in past roles and be ready to share those experiences.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals like you!
We think you need these skills to ace Data Architect in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Architect role. Highlight your experience with data architecture, especially in regulated industries, and don’t forget to mention any relevant technologies you’ve worked with like AWS or Azure.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've shaped data landscapes in the past and how you can bring that expertise to our team.
Showcase Your Problem-Solving Skills: Since this role involves navigating ambiguity, make sure to include examples of how you've tackled complex challenges in previous positions. We want to see your thought process and how you approach problem-solving!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at VIQU Limited
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the principles of data architecture, especially in relation to greenfield and brownfield projects. Brush up on your knowledge of data models, lakes, and warehouses, as well as any relevant technologies like AWS or Azure. This will help you confidently discuss how you can shape the organisation's data landscape.
✨Prepare for Ambiguity
Since the organisation is relatively immature from a data architecture perspective, be ready to tackle questions about how you would handle uncertainty. Think of examples from your past where you successfully navigated ambiguity and shaped direction. This will show that you’re not just a problem-solver but also a strategic thinker.
✨Showcase Your Regulatory Knowledge
If you have experience in regulated industries, make sure to highlight it! Be prepared to discuss how you’ve implemented data governance frameworks and ensured compliance with data quality and security standards. This will demonstrate your ability to operate effectively within the constraints of a highly regulated environment.
✨Engage with Emerging Technologies
Stay updated on the latest tools and technologies in data architecture. Be ready to discuss how you evaluate and integrate new platforms, especially in relation to AI/ML readiness. Showing enthusiasm for innovation will set you apart and align with the organisation’s goals of modernising their data solutions.