At a Glance
- Tasks: Design and enhance enterprise data architecture for global platforms in a pharmaceutical setting.
- Company: Join a 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: Make a significant impact on data strategy while working with cutting-edge technologies.
- Qualifications: Degree in a relevant field and strong experience in data architecture 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
Requirements
- 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
Preferred
- 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 Dartford employer: BioTalent
Contact Detail:
BioTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Dartford
✨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 that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data architecture projects. Whether it's a cool data model or an automation solution, having tangible examples can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled challenges in data governance or collaborated with teams. We want to see how you think and solve problems!
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Data Architect in Dartford
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 the perfect fit for this role. Mention your experience in the pharmaceutical sector and how you can contribute to our global data architecture.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in SQL, data warehousing, and any big data tools you've worked with. We love seeing specific examples of how you've used these skills in past projects!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
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 have practical experience to back it up.
✨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 these experiences will demonstrate your ability to think critically and innovate within a pharmaceutical environment.
✨Communicate Clearly and Confidently
Strong communication is key, especially when collaborating with product and engineering teams. Practice explaining complex data concepts in simple terms, as this will help you connect with your interviewers and showcase your stakeholder management skills.
✨Familiarise Yourself with Relevant Tools
If you have experience with big data tools like Hadoop, Databricks, or Snowflake, be prepared to discuss them. Even if you haven't used them extensively, showing that you understand their relevance in data architecture can set you apart from other candidates.