Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design of innovative data architecture and create impactful dashboards.
- Company: Dynamic tech company at the forefront of data solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Shape the future of data management and make a real difference in business strategy.
- Qualifications: 5+ years in data architecture with strong cloud platform experience.
- Other info: Join a collaborative team in a vibrant London setting.
The predicted salary is between 40000 - 45000 £ per year.
As the enterprise data architect, you will own the programme pipeline for developing our data architecture strategy, including translation of our goals and objectives into enriched data dashboards. You will define and direct SXSW London's target data architecture (including shared data environments, data model and standards) in support of our business strategy, ensuring that data is accurate, secure and accessible to meet the needs of senior executives and department heads.
Responsibilities
- Accountable for the data architecture & design, including implementation of company-wide data models, incorporating relevant governance frameworks, and architectural standards.
- Develop architectural solutions resulting in a single source of truth data lake warehouse, utilising Power BI with built-in AI design considerations.
- Lead the design and development of scalable data pipelines and solutions, which support our event operations across our customer journey and channels.
- Collaborate with stakeholders and external technology partners to promote consistent and value driven data usage.
- Communicate the value of data management, through workshops and proof of concepts in partnership with business and technology partners.
- Develop data architecture governance and standards, regarding data models and capabilities, including ability to logically model marketing and financial data.
- Connect disparate sources to provide seamless data access.
- Define KPI and Metrics for data dashboard.
- Map existing data sources and identify data access points.
- Create dedicated stakeholder UAT group for continuous output assessment.
- Build an executive dashboard.
- Configure integration and workflows.
- Create automation and refresh schedules.
- Setup training and confidence workshops.
- Integrating ML and AI into dashboard reporting.
Required
- Deep knowledge of modern data architecture.
- Experience within Cloud platforms (Azure, AWS, Databricks).
- Strong understanding of ETL/ELT, APIs and integration patterns.
- Strong communication and stakeholder engagement.
- 5 years+ in data architecture or related fields.
- Deep understanding of Information Security, alongside privacy and compliance regulations.
- Proven experience in enterprise-scale data modelling.
- Expertise in metadata management.
- Excellent analytical, planning, organisational and technical skills along with excellent written and verbal communication skills.
- Experience in translating complex technological requirements to an audience with minimal technical insight.
This is a hybrid position based in the City of London. The position is a 6 month FTC role. The salary for this role will be circa £40K - £45K.
Enterprise Data Architect in London employer: Jas Gujral
Contact Detail:
Jas Gujral Recruiting Team
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 data architecture field and let them know you're on the hunt for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving data architecture and visualisation tools like Power BI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of cloud platforms and data governance. Be ready to discuss how you've tackled challenges in past roles and how you can apply that experience to their needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
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 speaks directly to the role of Enterprise Data Architect. Highlight your experience with data architecture, cloud platforms, and any relevant projects that showcase your skills in creating data models and dashboards.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled similar challenges in the past and how you can contribute to our data strategy at StudySmarter.
Showcase Your Communication Skills: Since strong communication is key, make sure your application reflects your ability to translate complex data concepts into simple terms. This will show us that you can engage effectively with stakeholders and team members alike.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your CV and cover letter, and it ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Jas Gujral
✨Know Your Data Architecture Inside Out
Make sure you brush up on your knowledge of modern data architecture, especially in relation to cloud platforms like Azure and AWS. Be ready to discuss how you've implemented data models and governance frameworks in previous roles.
✨Showcase Your Communication Skills
Since this role involves a lot of stakeholder engagement, practice explaining complex data concepts in simple terms. Prepare examples of how you've successfully communicated the value of data management to non-technical audiences.
✨Prepare for Technical Questions
Expect questions about ETL/ELT processes, API integrations, and data pipeline design. Have specific examples ready that demonstrate your experience and problem-solving skills in these areas.
✨Demonstrate Your Analytical Thinking
Be prepared to discuss how you've defined KPIs and metrics for data dashboards in the past. Think of scenarios where you've mapped existing data sources and identified access points, and be ready to share those insights.
