At a Glance
- Tasks: Lead the design and implementation of advanced data solutions for a dynamic organisation.
- Company: Join a forward-thinking team dedicated to innovative data architecture.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data architecture and make a real impact on business decisions.
- Qualifications: Experience in data architecture and strong analytical skills are essential.
- Other info: Collaborative environment with exciting projects and career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
There is a requirement for the Enterprise Data Architect to be involved in and consulted on all non-functional, architectural and design-led discussion and decision-making. The Architect is responsible for:
- Undertaking a key technical role in the area of advanced data techniques, including data modelling, data access, data integration, data visualisation, text mining, data discovery, database design and implementation.
- Defining and implementing the enterprise data roadmap, including data modelling, enterprise data warehousing and advanced data analytics systems.
- Creating the information architecture and roadmaps to define the corporate data framework and explain the migration steps necessary to meet evolving business requirements.
- Providing leadership in relation to the design, documentation and establishment of the storage and analytic environments required for structured, semi-structured and unstructured data.
- Providing technical advice and support during various project phases:
- EARLY ENGAGEMENT PHASE: Engagement must take place at the earliest opportunity within the project delivery. Artefacts include contribution to Business Case preparation and Non-Functional Requirements document.
- TENDER PHASE: The Architect is responsible for NFRs and must engage via Procurement in tender responses and information requests. Artefacts include feedback responses collated by procurement and individual scoring spreadsheets with detailed constructive analysis/criticism of responses.
- DESIGN & IMPLEMENTATION PHASE: Collaboration between supplier, project team & stakeholders. Artefacts include:
- High Level and Low Level Design Documents showing how and where within the Police Scotland environment the service will be hosted.
- Options Paper detailing pros, cons, costs, effort, etc.
- Common diagrams produced/reviewed during this stage include High Level Context Diagram, Integrations Diagram, Deployment / Physical Design Diagram, Traffic / Data Flow Diagrams.
- Task raised to support build requirements from the design.
- Briefing Papers where technical considerations/changes need to be conveyed, raised and agreed with senior management and business stakeholders.
The Enterprise Data Architect contributes to the following Project Deliverables:
- Failover/continuity documentation – aspects of this will be present in design documentation but greater detail will be required.
- Project Plan - input into the steps required to build and deliver the documented design, any cutover/BRC/go-live activities, plus any decommissioning.
- High level presentations/overview of the solution, based on the requirements of the audience, such as the business or technical teams.
Enterprise Data Architect in Paisley employer: alphayotta
Contact Detail:
alphayotta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect in Paisley
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to data architecture. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with data modelling, integration, and analytics. We want to see you confidently discuss your past projects and how they relate to the role of an Enterprise Data Architect.
✨Ask Smart Questions
During interviews, don’t just wait for them to ask you questions. Show your interest by asking about their data architecture challenges and how you can help solve them. This shows you’re not just looking for any job, but that you’re genuinely interested in contributing to their success.
✨Apply Through Our Website
We’ve got a fantastic platform for job applications, so make sure you apply through our website! It’s super easy, and you’ll be able to showcase your skills directly to us. Plus, we love seeing candidates who take the initiative to use our resources.
We think you need these skills to ace Enterprise Data Architect in Paisley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Enterprise Data Architect role. Highlight your experience with data modelling, integration, and analytics. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention specific tools and techniques you've used in data visualisation, database design, and any other relevant areas. We love seeing your hands-on experience!
Apply Through Our Website: We encourage you to apply through our website for a smoother 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 alphayotta
✨Know Your Data Inside Out
As an Enterprise Data Architect, you need to be well-versed in advanced data techniques. Brush up on your knowledge of data modelling, integration, and visualisation. Be ready to discuss specific projects where you've successfully implemented these techniques, as this will show your practical experience.
✨Prepare for Technical Questions
Expect to face technical questions that dive deep into architectural decisions and non-functional requirements. Review common architectural frameworks and be prepared to explain your thought process behind design choices. This will demonstrate your analytical skills and ability to lead discussions effectively.
✨Showcase Your Leadership Skills
The role requires providing leadership in design and documentation. Prepare examples of how you've led teams or projects in the past, particularly in relation to data architecture. Highlight your ability to communicate complex ideas to both technical and non-technical stakeholders.
✨Engage with Real-World Scenarios
During the interview, be ready to engage in scenario-based questions. Think about how you would approach early engagement phases or tender responses. Practising these scenarios can help you articulate your strategies clearly and show that you understand the project lifecycle.