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- Tasks: Design and enhance enterprise 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 work with cutting-edge technologies.
- Why this job: Join a dynamic team and shape the future of data in healthcare.
- Qualifications: Degree in relevant field and strong experience in data architecture.
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 employer: BioTalent
Contact Detail:
BioTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨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 will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture scenarios. Be ready to discuss how you've tackled challenges in previous roles, especially around data governance and compliance.
✨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
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 like ERwin. 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 your background fits into the 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 any experience with big data tools like Hadoop or Snowflake. We’re looking for someone who can hit the ground running, so make those skills pop in your application!
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. 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. Think about challenges you've faced in past projects and how you overcame them. This will demonstrate your ability to think critically and innovate.
✨Communicate Clearly and Confidently
Strong communication is key, especially when collaborating with product and engineering teams. Practice explaining complex data concepts in simple terms. This will help you connect with your interviewers and show that you can effectively manage stakeholders.
✨Familiarise Yourself with the Pharmaceutical Sector
Since this role is within a pharmaceutical environment, it’s beneficial to understand the specific data governance and compliance requirements in this field. Research relevant regulations and be prepared to discuss how your background aligns with these needs. This will set you apart as a candidate who understands the industry context.