Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the data lifecycle and architect scalable solutions using AWS.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by driving data solutions that shape the future.
- Qualifications: Experience in AWS architecture and strong skills in Python and data engineering.
- Other info: Be part of a dynamic team with a focus on continuous improvement and mentorship.
The predicted salary is between 48000 - 72000 £ per year.
What you’ll be doing:
- Lead End-to-End Data Lifecycle: Own and manage the complete data lifecycle—from capturing learning interaction data to delivering consolidated insights—ensuring data is accurate, accessible, and actionable.
- Architect Scalable Data Solutions: Design and implement enterprise-grade data pipelines and architectures using AWS services (e.g. S3, Glue, Lambda, Redshift, EMR, Kinesis), optimised for analytics and scalability.
- Set Technical Direction: Define and guide technical decisions related to data conceptualisation, modelling, and visualisation within the organisation’s analytics ecosystem.
- Champion Data Governance and Access: Drive visibility into data usage and access, ensuring secure, compliant, and transparent data practices across the organisation.
- Communicate with Impact: Translate complex technical concepts into clear, non-technical language for business stakeholders and internal customers.
- Act as a Subject Matter Expert: Serve as a go-to expert in data architecture, resolving complex issues and fostering thought leadership and technical excellence.
- Drive Standards and Best Practices: Lead the implementation of architectural guidelines and frameworks, ensuring alignment with strategic objectives and consistency across solutions.
- Monitor and Optimise Services: Define and oversee service metrics, collaborating with stakeholders to meet performance standards and client expectations.
- Innovate and Evolve Architecture: Spearhead the conceptualisation and development of innovative data services and products, aligned with evolving business needs.
- Mentor and Develop Talent: Coach and support experienced professionals, building current and future capabilities within the data architecture team.
- Lead Continuous Improvement: Identify and implement process enhancements to improve the efficiency, quality, and agility of data architecture practices.
- Cloud Governance: Utilize tools such as IAM, resource tagging, cost management, etc. to enforce AWS governance policies and implement monitoring and alerting solutions to address issues proactively.
Experience Required:
- Solution Focused Achiever: Always deliver ambitious goals, outcomes, and timelines while cutting through complexity to find ethical solutions.
- Change Agent: Identify, create, and lead smooth business changes while adapting quickly and performing effectively in ambiguity.
- Team Coach: Coach and develop your people.
- Decision Making: Gather information, analyse different scenarios, assess alternative resolutions, and reach a decision.
The skills you’ll need:
- A bachelor’s degree in computer science, information technology, or any relevant field; a master’s degree is preferred but not mandatory.
- AWS Solutions Architect, Associate or Professional certification is beneficial.
- Strong knowledge of cloud concepts, architecture patterns, and best practices.
- Proven experience in designing, implementing, and maintaining AWS solutions.
- Hands-on experience with any cloud, preferably AWS.
- Extensive background in software architecture and solution design, with deep expertise in microservices, distributed systems, and cloud-native architectures.
- Advanced proficiency in Python and Apache Spark, focusing on ETL data processing and scalable data engineering workflows.
- In-depth technical knowledge of AWS data services, with hands-on experience implementing data pipelines using tools such as EMR, AWS Glue, AWS Lambda, Step Functions, API Gateway, and Athena.
- Proven experience in designing and delivering Lakehouse architectures, enabling unified analytics across structured and unstructured data.
Our leadership standards:
- Looking in: Inspire and build trust through self-awareness, honesty, and integrity.
- Owning outcomes: Take the right decisions that benefit the broader organisation.
- Looking out: Execute brilliantly on clear priorities that add value to our customers and the wider business.
- Commercially savvy: Demonstrate strong commercial focus, bringing an external perspective to decision-making.
- Looking to the future: Experiment and identify opportunities for growth for both yourself and the organisation.
- Building for the future: Build diverse future-ready teams where all individuals can be at their best.
Systems Architect - AWS in London employer: BT Group
Contact Detail:
BT Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systems Architect - AWS in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AWS and data architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your expertise! Create a portfolio of projects that highlight your skills in AWS solutions and data architecture. This can really set you apart from other candidates when you're chatting with potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who are eager to join our team!
We think you need these skills to ace Systems Architect - AWS in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Systems Architect role. Highlight your AWS expertise and any relevant projects you've worked on, so we can see how you fit into our team.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data architecture and how you can contribute to our mission. Be sure to mention specific AWS services you've worked with and how they relate to the job description.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex challenges in previous roles. We love seeing candidates who can cut through complexity and deliver effective solutions, so don't hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at BT Group
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services like S3, Glue, and Lambda. Be ready to discuss how you've used these tools in past projects, especially in designing scalable data solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to cut through complexity and deliver solutions. Think about specific challenges you've faced in data architecture and how you overcame them—this will demonstrate your solution-focused mindset.
✨Communicate Clearly and Effectively
Practice translating complex technical concepts into simple language. You’ll need to show that you can communicate with both technical teams and non-technical stakeholders, so think of ways to simplify your explanations.
✨Demonstrate Your Leadership Qualities
Be ready to discuss your experience in mentoring and coaching others. Highlight any instances where you've led a team or driven change, as this aligns with the role's emphasis on being a change agent and team coach.
