At a Glance
- Tasks: Design and deliver secure, scalable data marketplace solutions using AWS and AI.
- Company: Leading UK-based organisation focused on innovative data architecture.
- Benefits: Competitive contract rate, flexible working arrangements, and opportunity to work with cutting-edge technology.
- Other info: Ideal for those seeking a senior consulting role with significant impact.
- Why this job: Join a dynamic team and shape the future of data architecture in a thriving industry.
- Qualifications: Experience in enterprise data architecture, particularly in banking or financial services.
The predicted salary is between 80000 - 100000 £ per year.
Contract Opportunity: Enterprise Data Architect – AWS / AI / Data Marketplace
I am currently supporting a UK-based organisation with the search for an experienced Enterprise Data Architect to support the design and delivery of secure, scalable and governed data marketplace solutions. This is a senior, consulting-focused role requiring someone who has operated at true enterprise architecture level and can work closely with business, data, architecture, engineering and security stakeholders.
The successful candidate will help define architecture principles across data ingestion, processing, sharing, governance and self-service analytics, while supporting the adoption of modern AWS data and AI services.
Key experience required:
- Enterprise Data Architecture / target-state architecture
- Banking or financial services experience
- AWS data platform architecture
- Data marketplace, data products, data mesh or data lakehouse experience
- Strong data governance, lineage, metadata and data quality experience
- Exposure to AWS AI/ML services such as SageMaker, SageMaker Unified Studio, Amazon Bedrock, AgentCore or AWS DataZone
- Consulting or client-facing architecture experience
- Strong stakeholder management and design authority experience
Please note, this is not a general cloud migration, infrastructure, application modernisation or software development role. The client is specifically looking for someone with genuine Enterprise Data Architect experience.
UK-based candidates only. Please reach out if this sounds relevant.
Enterprise Data Architect in London employer: TechShack
Join a forward-thinking UK-based organisation that values innovation and expertise in the realm of data architecture. As an Enterprise Data Architect, you will thrive in a collaborative work culture that prioritises professional growth and offers opportunities to engage with cutting-edge AWS and AI technologies. With a focus on secure and scalable data solutions, this role not only promises meaningful contributions to the financial services sector but also provides a supportive environment for your career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and financial services sectors. Let them know you're on the lookout for an Enterprise Data Architect role. You never know who might have the inside scoop on opportunities!
✨Tip Number 2
Showcase your expertise! When you get the chance to chat with potential employers, highlight your experience with AWS data platforms and AI services. Make sure they know you’re not just any architect, but one who can truly drive data marketplace solutions.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of data governance, lineage, and metadata. Be ready to discuss how you've implemented these principles in past roles, especially in a consulting capacity.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Enterprise Data Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Enterprise Data Architect role. Highlight your experience with AWS, data governance, and any relevant banking or financial services background. We want to see how your skills align with what we're looking for!
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. Mention specific projects where you've designed data marketplace solutions or worked with AI/ML services. Let us know how you can add value!
Showcase Your Stakeholder Management Skills:In your application, don't forget to highlight your experience in managing stakeholders. This role requires strong collaboration with various teams, so share examples of how you've successfully navigated complex stakeholder environments in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at TechShack
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in enterprise data architecture principles, especially those related to AWS and AI services. Brush up on your knowledge of data marketplaces, data mesh, and data lakehouse concepts, as these will likely come up during the interview.
✨Showcase Your Stakeholder Management Skills
Prepare examples that highlight your experience in managing stakeholders across various teams. This role requires strong collaboration with business, data, and engineering stakeholders, so be ready to discuss how you've successfully navigated these relationships in the past.
✨Demonstrate Your Governance Expertise
Be prepared to talk about your experience with data governance, lineage, and quality. The interviewer will want to know how you ensure data integrity and compliance, so have specific examples ready to illustrate your approach.
✨Familiarise Yourself with Relevant Tools
Get comfortable with AWS AI/ML services like SageMaker and DataZone. Being able to discuss how you’ve used these tools in previous roles will show that you’re not just familiar with the technology but can also leverage it effectively in a consulting capacity.
