Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AWS Data architect

LA International Computer Consultants Ltd
Beith
6 days ago
Create job alert

3 DAYS ONSITE IN GLASGOW, £540 PD INSIDE IR35
The Role
We are looking for an AWS Data Architect who has proven experience with AWS application development and deployment area and strong understanding of data warehouse principles and practices. The AWS Data Architect needs to conduct design workshops and work sessions to gather, analyse business requirements and translate complex business needs into effective AWS-based technical solutions.
Your responsibilities:

  • Create high-level blueprints for managing data assets and design scalable, secure AWS data solutions that align with business objectives.
  • Design and build data models, pipelines, and storage solutions using various AWS data services (e.g., S3, Redshift, Glue, Lambda).
  • Establish data policies, standards, and security controls (like encryption and access management) to ensure data integrity, compliance, and accessibility.
  • Work with business analysts, data engineers, and other teams to gather requirements, propose migration strategies, and ensure alignment between technical solutions and business needs.
  • Provide expertise in data management technologies, best practices, and emerging trends within the AWS ecosystem, often mentoring junior team members.
  • Understand organizational needs and translate them into executable data strategy roadmaps and technical designs.
    Your Profile
    Essential skills/knowledge/experience:
  • 8+ years of experience in software development and architecture.
  • 5+ years of hands-on experience designing and implementing solutions on AWS.
  • Strong proficiency in AWS services primarily Amazon SQS, Lambda, S3, CloudTrail, Aurora PostgreSQL, API Gateway, IAM, AWS Athena.
  • Experience with microservices architecture, serverless computing, and containerization.
  • Proficiency in programming languages, primarily Python and Node.js, will be a good addition.
  • Expertise in DevOps practices and tools (e.g., Terraform, CloudFormation, Jenkins, Git etc.).
  • Comprehensive knowledge of cloud security principles, including identity and access management, data protection, and threat mitigation strategies.
  • AWS Certified Solutions Architect - Professional (preferred).


    LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds.

    Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.

Related Jobs

View all jobs

AWS Data architect

AWS Data Architect

AWS Data Architect

AWS Data Engineer - Permanent

Senior AWS Data Engineer - London - £125,000

Sr AWS Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.