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- Tasks: Design and develop data models while collaborating with cross-functional teams.
- Company: Join Anson McCade, a forward-thinking IT services company in London.
- Benefits: Enjoy a competitive salary up to £115,000 plus benefits and hybrid work options.
- Why this job: Shape the future of data architecture in a dynamic, innovative environment.
- Qualifications: 10+ years in data architecture, strong SQL and Python skills required.
- Other info: Opportunity to work with cutting-edge technologies and tools.
The predicted salary is between 84000 - 136000 £ per year.
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Learn more about the general tasks related to this opportunity below, as well as required skills.
This range is provided by Anson McCade. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.
Base pay range
Job Title: Data Architect
Location: London (Hybrid)
Salary: Up to 115,000 per annum + benefits
Are you a technically driven Data Architect with a passion for designing robust, scalable data solutions? Were looking for a highly skilled professional to join a forward-thinking engineering team, where youll play a pivotal role in shaping data architecture across analytical and real-time streaming domains.
About the Role
This is a deeply technical position focused on the full data modelling lifecycle. Youll be responsible for creating, assuring, and overseeing the implementation of data models that support business intelligence, analytics, and operational systems. Youll collaborate with cross-functional teams to ensure data structures are optimised for performance, scalability, and compliance.
Key Responsibilities
- Design and develop conceptual, logical, and physical data models.
- Define and enforce data architecture standards and best practices.
- Align data models with business requirements and future scalability.
- Collaborate with stakeholders, engineers, and product teams to gather requirements and design solutions.
- Guide data integration, transformation, and migration strategies.
- Maintain enterprise data models, dictionaries, metadata, and lineage documentation.
- Ensure compliance with data governance and regulatory standards.
- Optimise data products for performance and reliability.
- Evaluate and recommend data modelling tools and technologies.
What Were Looking For
- 10+ years of experience in data architecture and modelling.
- Experience with analytical and real-time/streaming data solutions.
- Proficiency in data modelling tools (e.g., Erwin, Lucidchart, SAP PowerDesigner).
- Strong SQL and Python skills; experience with Snowflake or similar platforms.
- Familiarity with AWS services (Lambda, SNS, S3, EKS, API Gateway).
- Knowledge of ETL/ELT processes, big data technologies, and data governance frameworks (e.g., GDPR, HIPAA).
- Excellent communication and stakeholder management skills.
- Certifications in data modelling, cloud, or database technologies.
- Experience with enterprise data models and API/interface modelling.
- Familiarity with CI/CD pipelines (e.g., GitHub Actions).
- Knowledge of Apache Airflow, DBT, and Atlan.
- Understanding of iceberg tables and modern data architecture patterns.
Reference: AMC/JWH/DAL1
Seniority level
- Seniority levelMid-Senior level
Employment type
- Employment typeFull-time
Job function
- Job functionInformation Technology
- IndustriesIT Services and IT Consulting
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Data Architect (London) employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect (London)
✨Tip Number 1
Network with professionals in the data architecture field. Attend industry meetups, webinars, or conferences to connect with potential colleagues and learn about the latest trends and technologies. This can help you gain insights into what companies like us are looking for in candidates.
✨Tip Number 2
Showcase your technical skills through personal projects or contributions to open-source initiatives. Having a portfolio that demonstrates your experience with data modelling tools and cloud services can set you apart from other candidates when applying for the Data Architect role.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data governance frameworks and compliance standards. Being able to discuss how you've implemented these in past roles will demonstrate your expertise and understanding of the responsibilities associated with the position.
✨Tip Number 4
Familiarise yourself with our company culture and values. Understanding what we stand for at StudySmarter can help you tailor your conversations during interviews, showing that you're not just a fit for the role but also for our team.
We think you need these skills to ace Data Architect (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 10+ years of experience in data architecture and modelling. Emphasise your proficiency with data modelling tools and your strong SQL and Python skills, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for designing scalable data solutions. Mention specific projects where you've successfully implemented data models and collaborated with cross-functional teams to meet business requirements.
Showcase Relevant Skills: Clearly outline your familiarity with AWS services, ETL/ELT processes, and big data technologies. Highlight any certifications you have in data modelling or cloud technologies, as these will strengthen your application.
Proofread and Edit: Before submitting your application, thoroughly proofread your documents. Check for any grammatical errors or typos, and ensure that all information is accurate and well-presented to make a strong impression.
How to prepare for a job interview at Anson McCade
✨Showcase Your Technical Skills
As a Data Architect, your technical expertise is crucial. Be prepared to discuss your experience with data modelling tools like Erwin or Lucidchart, and demonstrate your proficiency in SQL and Python. Highlight specific projects where you've successfully implemented data solutions.
✨Understand the Business Context
It's important to align your data models with business requirements. Research the company and its industry to understand their data needs. During the interview, articulate how your designs can support their business intelligence and analytics goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Prepare examples of how you've handled data integration, transformation, or migration challenges. This will showcase your ability to think critically and adapt to complex situations.
✨Emphasise Collaboration and Communication
Data Architects often work with cross-functional teams. Highlight your experience in collaborating with stakeholders and engineers. Discuss how you gather requirements and ensure that everyone is aligned on data architecture standards and best practices.
