Data Architect

Supermercados Guanabara; London; Hybrid; GBP 55,000 - 60,000; Full time

Job summary

Join a leading company as a Data Architect, where you'll design and deliver secure data solutions for a critical UK Government programme. This role offers the chance to influence national priorities and work in a hybrid environment. Ideal candidates will have experience in cloud environments and data governance. You'll collaborate with technical teams to create scalable architectures and ensure compliance with security standards.

Qualifications

• Significant experience in designing and delivering data solutions.
• Proven ability to create and maintain high-quality technical documentation.

Responsibilities

• Analyze technical requirements to design robust solutions.
• Lead the creation of secure, automated data architectures.
• Collaborate with customer teams to implement solutions.

Skills

Cloud environments

Data governance

Problem-solving

Tools

MySQL

Oracle

Amazon Redshift

Power BI

Pentaho

ElasticSearch

Apache Kafka

Job description

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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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