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- Tasks: Design and implement data models to drive corporate goals in a dynamic environment.
- Company: Leading pharma/manufacturing company focused on data as a strategic asset.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be a key player in shaping data strategy and making a real impact.
- Qualifications: Experience in data architecture, especially in regulated sectors like pharma.
- Other info: Join a hybrid team with a focus on innovation and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
The role of the Enterprise Data Architect is to expand the company’s use of data as a strategic enabler of corporate goals and objectives. The Enterprise Data Architect will achieve this by strategically designing, developing, and implementing data models for enterprise-level applications and systems. These models shall be architected at the following layers: conceptual, logical, business area, and application.
This individual will act as the primary advocate of data modelling methodologies and data processing best practices. The role will operate within a hybrid (OCI), and various SaaS platforms.
Responsibilities & Scope:
- Enterprise-wide data architecture and strategy ownership
- Translating business requirements into conceptual, logical, and physical data models
- Data governance, metadata, MDM, and quality assurance
- Providing technical leadership to data and analytics engineers
- Strategic involvement in data security, backup, disaster recovery, and lifecycle management
Key Experience Requirements:
- Cloud-native services in Azure: Synapse Analytics, Data Factory, Microsoft Fabric
- Microsoft Purview for data governance, cataloguing, lineage
- Agile and DevOps support
- Business requirements analysis, ER modeling, database design, reporting structures
- Designing schemas and flows for structured and semi-structured data
- Substantial data architect experience in regulated sectors (pharma/manufacturing)
- Operating across hybrid environments (on-prem, Azure, OCI, SaaS)
If you are interested please apply or send your CV to luke.sandilands@cpl.com
Enterprise Data Architect in London employer: Cpl Life Sciences
Contact Detail:
Cpl Life Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend relevant meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data architecture. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your past projects, especially those involving data modelling and cloud services. We love seeing real examples of your work that demonstrate your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to make an impact in the data space.
We think you need these skills to ace Enterprise Data Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that match the Enterprise Data Architect role. Highlight your experience with data modelling, cloud-native services, and any relevant projects in pharma or manufacturing.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share your passion for data architecture and how you can contribute to our strategic goals. Don’t forget to mention your experience with Azure and data governance!
Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise, especially in areas like ER modelling, database design, and working with hybrid environments. We want to see how you can bring value to our data architecture strategy.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Cpl Life Sciences
✨Know Your Data Models
Make sure you brush up on your knowledge of conceptual, logical, and physical data models. Be ready to discuss how you've applied these in past roles, especially in regulated sectors like pharma or manufacturing.
✨Showcase Your Technical Skills
Familiarise yourself with cloud-native services, particularly Azure tools like Synapse Analytics and Data Factory. Be prepared to explain how you've used these technologies to enhance data architecture and governance.
✨Understand the Business Side
Since this role involves translating business requirements into data models, think about how you've successfully bridged the gap between technical and non-technical stakeholders in previous positions.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills in data security, backup, and disaster recovery. Have examples ready that demonstrate your strategic thinking and leadership in these areas.