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- Tasks: Design and build data models to meet business needs and guide data management.
- Company: Leading organisation in Glasgow with a focus on innovative data solutions.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of data architecture and make a real impact in a dynamic environment.
- Qualifications: Experience in data modelling and strong communication skills across technical teams.
- Other info: Join a collaborative team with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Location: Glasgow (Remote with adhoc visit)
Vetting: SC or DV security clearance will be required
Description: Sets the vision for the organisations use of data, through data design, to meet business needs. Designs and builds data models to fulfil the strategic data needs of the business as defined by chief data architects. Design, support and provide guidance for the upgrade, management, de-commission and archive of data in compliance with data policy; provide input into data dictionaries.
Responsibilities:
- Sets the vision for the organisations use of data, through data design, to meet business needs.
- Designs and builds data models to fulfil the strategic data needs of the business as defined by chief data architects.
- Design, support and provide guidance for the upgrade, management, de-commission and archive of data in compliance with data policy; provide input into data dictionaries.
- Initiate actions, monitor services and identify trends to resolve problems.
- Design data architecture to address specific business problems.
- Work with data product teams (staff and other suppliers) who have a range of data knowledge and competence.
Qualifications:
- Translate and accurately communicate across technical and non-technical stakeholders.
- Undertake data profiling and source system analysis.
- Responsibility for the assurance of data solutions and make recommendations.
- Aware of opportunities for innovation with new tools.
- Produce, maintain and update relevant data models.
- Knowledge of modelling frameworks and standards (UML, TOGAF etc) and tools (MooD, Visio, erwin).
- Develop data standards for a specific component (relational, dimensional, patterns, FAIR principles etc, x-gov and industry best practices and standards).
- Work with metadata repositories to complete complex tasks (MS Purview).
- Knowledge of Microsoft Purview of benefit and familiarity with Microsoft data technologies, from PaaS (SQL Server, Synapse) to SaaS (Fabric), and Databricks is required.
- Knowledge of the Microsoft stack and Databricks or the ability to learn new technologies quickly and how your baseline data architecture skills can be applied.
- Knowledge of a range of data patterns and data types - relational, dimensional, structured and unstructured data, medallion architecture pattern, API patterns, security, integrations.
Data Architect in Glasgow employer: Synapri
Contact Detail:
Synapri Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the data architecture field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and architecture designs. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and non-technical communication. Practice explaining complex data concepts in simple terms, as you'll need to connect with various stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application a breeze!
We think you need these skills to ace Data Architect in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Architect role. Highlight your experience with data models, architecture, and any relevant tools like Microsoft Purview or Databricks. 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 vision at StudySmarter. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your technical expertise! Whether it's UML, TOGAF, or specific data technologies, make sure we know what you bring to the table. We’re looking for someone who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Synapri
✨Know Your Data Models
Make sure you brush up on your data modelling skills before the interview. Be ready to discuss different frameworks like UML and TOGAF, and how you've applied them in past projects. This will show that you understand the technical side of the role and can contribute effectively.
✨Communicate Clearly
Since you'll be translating complex data concepts for non-technical stakeholders, practice explaining your previous projects in simple terms. Use examples that highlight your ability to bridge the gap between technical and non-technical teams, as this is crucial for the role.
✨Stay Updated on Tools
Familiarise yourself with Microsoft Purview and other relevant tools mentioned in the job description. If you have experience with SQL Server, Synapse, or Databricks, be prepared to discuss how you've used these technologies to solve business problems.
✨Showcase Your Problem-Solving Skills
Think of specific instances where you've identified trends or resolved data-related issues in your previous roles. Be ready to share these examples during the interview, as they demonstrate your proactive approach and ability to design data architecture that meets business needs.
