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- Tasks: Design and implement data models while collaborating with teams to meet business needs.
- Company: Join a leading engineering firm in Central London focused on innovative data solutions.
- Benefits: Enjoy a competitive salary, hybrid working options, and a comprehensive benefits package.
- Why this job: Be part of a dynamic team shaping the future of data architecture with real impact.
- Qualifications: 10+ years in data architecture, expertise in Python, SQL, and AWS services required.
- Other info: Opportunity for professional growth with access to cutting-edge technologies.
The predicted salary is between 69000 - 81000 £ per year.
Senior Data Architect
££115,000 GBP
+ benefits package
Onsite WORKING
Location: Central London, Greater London – United Kingdom Type: Permanent
Senior Data Architect
Location: London (Hybrid)
Salary: Up to £115,000 + benefits package
Contract Type: Permanent
We are supporting a client in their search for a technically strong Data Architect to join their engineering function. This is a hands-on, technically deep role focused on designing and implementing scalable data models across analytical and real-time streaming domains.
Key Responsibilities:
- Design and implement conceptual, logical, and physical data models
- Define and maintain data architecture standards and best practices
- Collaborate with cross-functional teams to align data models with business needs
- Lead data integration, transformation, and migration strategies
- Maintain enterprise data models, metadata repositories, and data lineage documentation
- Optimise data products for performance, scalability, and reliability
Skills & Experience:
- 10+ years in data architecture and modelling
- Expertise in dimensional modelling, 3NF, and Data Vault 2.0
- Experience with real-time/streaming data solutions
- Proficiency in Python, SQL, and data modelling tools (e.g. Erwin, Lucidchart)
- Strong knowledge of AWS services (Lambda, SNS, S3, EKS, API Gateway)
- Familiarity with Snowflake, Spark, Airflow, DBT, and data governance frameworks
Preferred:
- Certifications in cloud/data technologies
- Experience with API/interface modelling and CI/CD (e.g. GitHub Actions)
- Knowledge of Atlan and iceberg tables
Reference: AMC/SCU/SDA/3007
Postcode: SW1
#secu
Senior Data Architect employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Architect
✨Tip Number 1
Network with professionals in the data architecture field. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and technologies that are relevant to the role.
✨Tip Number 2
Showcase your hands-on experience with data modelling tools and cloud services during conversations. Be prepared to discuss specific projects where you've successfully implemented scalable data solutions, as this will demonstrate your expertise.
✨Tip Number 3
Familiarise yourself with the company's existing data architecture and any recent projects they've undertaken. This knowledge will allow you to ask insightful questions during interviews and show your genuine interest in their work.
✨Tip Number 4
Prepare to discuss your approach to collaboration with cross-functional teams. Highlight examples where you've aligned data models with business needs, as this is a key responsibility of the Senior Data Architect role.
We think you need these skills to ace Senior Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture and modelling. Focus on your expertise in dimensional modelling, 3NF, and Data Vault 2.0, as well as your proficiency in Python and SQL.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data architecture. Mention specific projects where you've designed and implemented scalable data models, and how your skills align with the company's needs.
Highlight Relevant Experience: In your application, emphasise your 10+ years of experience in data architecture. Include details about your work with real-time/streaming data solutions and any relevant certifications in cloud/data technologies.
Showcase Collaboration Skills: Since the role involves collaboration with cross-functional teams, provide examples of how you've successfully worked with others to align data models with business needs in your previous roles.
How to prepare for a job interview at Anson McCade
✨Showcase Your Technical Expertise
As a Senior Data Architect, it's crucial to demonstrate your deep understanding of data architecture principles. Be prepared to discuss your experience with dimensional modelling, 3NF, and Data Vault 2.0, as well as your proficiency in Python and SQL. Highlight specific projects where you've successfully implemented these skills.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about past challenges you've faced in data integration or migration strategies and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Familiarise Yourself with Relevant Tools
Make sure you're well-versed in the data modelling tools mentioned in the job description, such as Erwin and Lucidchart. If you have experience with AWS services like Lambda and S3, be ready to discuss how you've used these tools in your previous roles to optimise data products.
✨Emphasise Collaboration Skills
Collaboration is key in this role, so be prepared to talk about how you've worked with cross-functional teams in the past. Share examples of how you've aligned data models with business needs and maintained data architecture standards, showcasing your ability to communicate effectively with both technical and non-technical stakeholders.
