Data Architect (London)

Data Architect (London)

Wandsworth Full-Time 47000 - 63000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and deliver secure, scalable data solutions for a national initiative.
  • Company: Join Supermercados Guanabara, a key player in UK Government programmes.
  • Benefits: Enjoy hybrid work options and competitive salary between Β£55,000 - Β£60,000.
  • Why this job: Be part of a high-impact project that shapes national priorities and future scalability.
  • Qualifications: Experience in cloud environments, data governance, and technical documentation is essential.
  • Other info: Ideal for those passionate about data architecture and looking to make a difference.

The predicted salary is between 47000 - 63000 Β£ per year.

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Job Title : Data Architect

Location : Hybrid 1-2 days onsite in East London (Stratford) Contract Type : Permanent Position Salary : £55,000 – £60,000 Security Clearance : Must be able to secure UK SC Clearance The Opportunity This is a fantastic opportunity to join a high-impact, long-term UK Government programme, shaping the foundations of a critical national initiative. As part of the Prime contractor organisation, you'll help design and deliver complex data solutions that will influence national priorities for years to come. You will have the chance to play an instrumental role from the very beginning of the programme, contributing to its success and future scalability. The Role

The Data Architect will be a key player in supporting the design, development, and delivery of secure, scalable data solutions. Working closely with technical specialists, external partners, and customer teams, you will create data architectures that meet complex business requirements and drive the programme forward. Your Role Will Include

  • Analyzing technical requirements and issues to design robust solutions.
  • Leading the creation of secure, automated data architectures that maximise the reuse of existing components.
  • Writing high- and low-level technical specifications and documentation.
  • Collaborating with customer teams to implement solutions and ensure they meet business objectives.
  • Supporting the resolution of operational issues in live environments.
  • Providing technical leadership and guidance to developers and data engineers.

The Person

The ideal candidate will have significant experience in designing and delivering data solutions, particularly within cloud environments such as AWS or Microsoft Azure. You will be comfortable working in complex environments and have a deep understanding of data governance, security, and compliance. You'll also have a proven ability to create and maintain high-quality technical documentation and manage the integration of various data systems. Specifically, You Will Need To Have

  • Strong experience designing secure data architectures in cloud environments (preferably AWS or Azure).
  • Hands-on experience with database technologies such as MySQL, Oracle, and Amazon Redshift.
  • Expertise in designing solutions that prioritise automation and reusability.
  • Proficiency in creating high-level and low-level technical designs, specifications, and interface control documents.
  • Knowledge of BI and analytics tools like Power BI, Pentaho, ElasticSearch, Solr, or Apache Kafka.
  • Solid experience with engineering methodologies and service management best practices.
  • A proactive approach to problem-solving and collaboration, with the ability to work closely with technical and non-technical teams.

Desired Skills

  • Python expertise, especially with data libraries like Pandas, NumPy, and Scikit-learn.
  • Familiarity with ETL tools and data pipeline orchestration.
  • Exposure to data science tools like SAS or Posit.
  • Experience in performance-critical environments, particularly with large-scale data platforms.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology

  • Industries

    Data Infrastructure and Analytics

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Data Architect (London) employer: Supermercados Guanabara

Supermercados Guanabara is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to contribute to significant national initiatives while enjoying a hybrid work model in vibrant East London. The company values diversity and inclusion, ensuring that every team member's voice is heard and respected, making it a truly rewarding place to advance your career.
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Contact Detail:

Supermercados Guanabara Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Architect (London)

✨Tip Number 1

Familiarise yourself with the specific cloud environments mentioned in the job description, particularly AWS and Azure. Consider taking online courses or certifications that focus on data architecture within these platforms to demonstrate your commitment and expertise.

✨Tip Number 2

Network with professionals in the data architecture field, especially those who have experience with UK Government projects. Attend relevant meetups or webinars to gain insights and potentially make connections that could lead to referrals.

✨Tip Number 3

Prepare to discuss your hands-on experience with database technologies like MySQL, Oracle, and Amazon Redshift during interviews. Be ready to provide examples of how you've designed secure data architectures and automated solutions in previous roles.

✨Tip Number 4

Showcase your problem-solving skills by preparing case studies or scenarios where you successfully resolved operational issues in live environments. This will highlight your proactive approach and ability to collaborate with both technical and non-technical teams.

We think you need these skills to ace Data Architect (London)

Cloud Architecture Design
Data Governance
Security Compliance
Database Technologies (MySQL, Oracle, Amazon Redshift)
Technical Documentation
Data Architecture Automation
BI and Analytics Tools (Power BI, Pentaho, ElasticSearch, Solr, Apache Kafka)
Engineering Methodologies
Service Management Best Practices
Problem-Solving Skills
Collaboration with Technical and Non-Technical Teams
Python Programming (Pandas, NumPy, Scikit-learn)
ETL Tools and Data Pipeline Orchestration
Data Science Tools (SAS, Posit)
Performance Optimisation for Large-Scale Data Platforms

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience in designing and delivering data solutions, especially in cloud environments like AWS or Azure. Use specific examples that demonstrate your expertise in creating secure data architectures.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the opportunity to contribute to a national initiative. Mention your hands-on experience with database technologies and your ability to work collaboratively with technical and non-technical teams.

Highlight Relevant Skills: Clearly list your skills related to data governance, security, compliance, and automation. Make sure to include your proficiency in BI and analytics tools, as well as any programming languages like Python that are relevant to the position.

Showcase Technical Documentation Experience: Since the role requires writing high- and low-level technical specifications, provide examples of your previous documentation work. This could include interface control documents or any other relevant technical writing that showcases your attention to detail.

How to prepare for a job interview at Supermercados Guanabara

✨Showcase Your Cloud Expertise

Make sure to highlight your experience with cloud environments, particularly AWS or Azure. Be prepared to discuss specific projects where you designed secure data architectures and how they met complex business requirements.

✨Demonstrate Problem-Solving Skills

Prepare examples of how you've tackled operational issues in live environments. Discuss your proactive approach to problem-solving and how you collaborated with both technical and non-technical teams to implement effective solutions.

✨Emphasise Technical Documentation

Since the role involves writing high- and low-level technical specifications, be ready to talk about your experience in creating and maintaining technical documentation. Bring samples if possible, as this can set you apart from other candidates.

✨Familiarity with BI Tools

Brush up on your knowledge of BI and analytics tools like Power BI or Apache Kafka. Be prepared to discuss how you've used these tools in past projects to drive data insights and support decision-making processes.

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