At a Glance
- Tasks: Design and enhance data architecture for global pharmaceutical platforms.
- Company: Leading pharmaceutical company focused on innovative data solutions.
- Benefits: Flexible hybrid or remote work, competitive pay, and potential contract extension.
- Other info: Opportunity to mentor junior staff and collaborate with global teams.
- Why this job: Join a dynamic team and shape the future of data in healthcare.
- Qualifications: Degree in relevant field and strong data architecture experience required.
The predicted salary is between 60000 - 80000 £ per year.
Experienced Data Architect needed to support and evolve enterprise data architecture across global platforms. The role focuses on building scalable, compliant, and high-performing data environments aligned with business strategy within a pharmaceutical environment.
This is a 6 month contract, hybrid or remote flexibility (depending on location) with a chance of extension.
Key Responsibilities- Develop and enhance enterprise data architecture
- Analyse and optimise data structures and performance
- Work with global data models to map and transform data
- Design solutions to accelerate data processing (e.g. automation, ML)
- Support database design, requirements, and technical specs
- Contribute to data governance and compliance
- Collaborate with product and engineering teams
- Provide technical guidance and mentor junior staff
- Degree in a relevant field
- Strong experience in data architecture and modelling
- Experience with data modelling tools (e.g. ERwin)
- Solid SQL skills
- Knowledge of data warehousing, ETL, MDM, and BI
- Strong communication and stakeholder management
- Experience with big data tools (e.g. Hadoop, Databricks, Snowflake)
- Familiarity with DevOps, CI/CD, Java/Scala
- Knowledge of semantic data models or ontologies
- Background in healthcare or life sciences
Data Architect in Warrington employer: BioTalent
Contact Detail:
BioTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Warrington
✨Tip Number 1
Network like a pro! Reach out to your connections in the data architecture field, especially those in the pharmaceutical sector. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects and achievements in data architecture. This is your chance to demonstrate how you’ve built scalable and compliant data environments.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling tools. Be ready to discuss how you've optimised data structures and contributed to data governance in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Architect in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with data architecture, modelling, and any relevant tools you've used. 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 passionate about data architecture and how your background fits into our pharmaceutical environment. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Don’t forget to mention your solid SQL skills and experience with data modelling tools like ERwin. If you've worked with big data tools or have knowledge of data governance, make sure to include that too. We love seeing those technical chops!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at BioTalent
✨Know Your Data Architecture Inside Out
Make sure you brush up on your data architecture knowledge before the interview. Be ready to discuss your experience with data modelling tools like ERwin, and how you've optimised data structures in previous roles. This will show that you’re not just familiar with the concepts but can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed solutions to accelerate data processing, such as automation or machine learning implementations. Highlighting your ability to tackle complex problems will demonstrate your value to the team.
✨Communicate Clearly and Confidently
Since strong communication is key for this role, practice articulating your thoughts clearly. Be prepared to explain technical concepts in a way that non-technical stakeholders can understand. This will showcase your ability to collaborate effectively with product and engineering teams.
✨Familiarise Yourself with the Pharmaceutical Environment
Given the focus on the pharmaceutical sector, do some research on industry-specific data governance and compliance standards. Showing that you understand the unique challenges of this environment will set you apart from other candidates.