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For Companies At a Glance
- Tasks: Design and manage data architecture, focusing on various data types and modelling.
- Company: Join a forward-thinking tech company in Bristol, leading the way in data solutions.
- Benefits: Enjoy flexible working with 2 days in the office and potential for contract extension.
- Why this job: Be part of an innovative team shaping the future of data with exciting technologies.
- Qualifications: Proven experience in data modelling, cloud databases, and data loading technologies required.
- Other info: Ideal for those passionate about AI and data reporting technologies.
The predicted salary is between 42000 - 60000 £ per year.
6 months (Extendable to 1 year) Bristol (2 days a week)
- Proven experience with different data types.
- Proven experience with data modelling.
- Experience with Cloud based Databases.
- Ideally experience with time series databases such as Influx DB.
- Proven experience with various data loading (Pipelining / ETL / Streaming) technologies.
- Proven experience with database sizing.
- Experience with MS O365 SharePoint.
- Technical data stores such as MS Azure Files.
- Time series data stores.
- Various (long term) archiving technologies.
- Experience with various data reporting technologies.
- Exposure to AI options for data.
Data Architect employer: Osmii
Contact Detail:
Osmii Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarise yourself with the specific data technologies mentioned in the job description, such as Influx DB and MS Azure Files. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data architecture field, especially those who work with cloud-based databases. Attend relevant meetups or webinars to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 3
Prepare to discuss your experience with data modelling and various data loading technologies during interviews. Be ready to provide examples of how you've successfully implemented these in past projects.
✨Tip Number 4
Stay updated on the latest trends in AI and data reporting technologies. Being knowledgeable about how these can be integrated into data architecture will demonstrate your commitment to staying ahead in the field.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with different data types, data modelling, and cloud-based databases. Specifically mention any work you've done with time series databases like Influx DB and relevant technologies such as MS O365 SharePoint.
Craft a Strong Cover Letter: In your cover letter, emphasise your proven experience with data loading technologies (Pipelining/ETL/Streaming) and database sizing. Use specific examples to demonstrate how your skills align with the job requirements.
Showcase Relevant Projects: If you have worked on projects involving technical data stores or archiving technologies, be sure to include these in your application. Highlight your exposure to AI options for data and how it has impacted your previous work.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A well-presented application reflects your attention to detail, which is crucial for a Data Architect role.
How to prepare for a job interview at Osmii
✨Showcase Your Data Modelling Skills
Be prepared to discuss your experience with data modelling in detail. Bring examples of past projects where you successfully designed data models, and be ready to explain your thought process and the tools you used.
✨Familiarise Yourself with Cloud Databases
Since the role requires experience with cloud-based databases, make sure you can talk about your familiarity with platforms like Azure. Highlight any specific projects where you've implemented solutions using these technologies.
✨Discuss Your Experience with ETL and Pipelining
Prepare to elaborate on your experience with data loading technologies such as ETL and streaming. Be ready to provide examples of how you've optimised these processes in previous roles.
✨Stay Updated on AI Trends in Data
Given the exposure to AI options for data, it’s beneficial to discuss current trends and technologies in this area. Research recent advancements and think about how they could apply to the role you're interviewing for.
