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- Tasks: Join our Cloud Data Platforms team to drive digital transformation using AWS and other cloud technologies.
- Company: 83zero Limited is a boutique consultancy specializing in Digital, Data, and AI transformation in the UK.
- Benefits: Enjoy a hybrid work model, competitive salary, bonus, pension contributions, health insurance, and life assurance.
- Why this job: Be part of a growing team that values innovation and collaboration while working on exciting projects.
- Qualifications: Experience with AWS, ETL/ELT pipelines, and strong coding skills in Java, Scala, or Python required.
- Other info: This role offers opportunities to lead projects and work closely with clients to deliver impactful solutions.
The predicted salary is between 64000 - 96000 £ per year.
AWS Data Solution Architect – Permanent – UK-Wide
(Amazon Web Services)
Salary guideline: £80,000 – £100,000 pa (DOE) + 10% Bonus, Pension up to 6% contributory, Health Insurance, Life Assurance etc.
Base Location: UK Wide – Hybrid model – Onsite / Remote
The Role:
The Cloud Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Cloud Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers’ digital and data transformation journey using the modern cloud platforms. We specialise in using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP.
Essential Skills and Experience:
- AWS (e.g., Athena, Redshift, Glue, EMR)
- Google Cloud Platform
- Java, Scala, Python, Spark, SQL
- Experience of developing enterprise-grade ETL/ELT data pipelines.
- Deep understanding of data manipulation/wrangling techniques.
- Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review).
- Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion.
- NoSQL Databases: Dynamo DB/Neo4j/Elastic, Google Cloud Datastore.
- BigQuery and Data Studio/Looker.
- Snowflake Data Warehouse/Platform.
- Streaming technologies and processing engines: Kinesis, Kafka, Pub/Sub and Spark Streaming.
- Experience of working with CI/CD technologies: Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc.
- Experience and knowledge of application Containerisation: Docker, Kubernetes etc.
- Experience building and deploying solutions to Cloud (AWS, Google Cloud) including Cloud provisioning tools (e.g., Terraform, AWS CloudFormation or Cloud Deployment Manager).
- Strong interpersonal skills with the ability to work with clients to establish requirements in non-technical language.
- Ability to translate business requirements into plausible technical solutions for articulation to other development staff.
- Experience designing analytics deliveries, planning projects and/or leading teams.
To apply please click the “Apply” button and follow the instructions.
For a further discussion, please contact James Money.
83zero Limited is a boutique consultancy specialising in Digital, Data and AI transformation within the UK. We provide high-quality interim and permanent senior IT professionals.
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AWS Data Solution Architect employer: Austin Fraser
Contact Detail:
Austin Fraser Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Solution Architect
✨Tip Number 1
Familiarize yourself with the specific AWS services mentioned in the job description, such as Athena, Redshift, and Glue. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight your experience with data manipulation and ETL/ELT processes. Be prepared to discuss specific challenges you've faced and how you overcame them, as this will demonstrate your problem-solving abilities and technical expertise.
✨Tip Number 3
Showcase your knowledge of CI/CD technologies and containerization tools like Docker and Kubernetes. Being able to articulate how you've implemented these practices in past projects will illustrate your readiness for a role that requires modern development methodologies.
✨Tip Number 4
Prepare to discuss your interpersonal skills and how you've successfully communicated technical concepts to non-technical stakeholders. This is crucial for a Solutions Architect role, as you'll need to bridge the gap between business needs and technical solutions.
We think you need these skills to ace AWS Data Solution Architect
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the AWS Data Solution Architect position. Highlight the key skills and experiences required, such as AWS services, data manipulation techniques, and experience with CI/CD technologies.
Tailor Your CV: Customize your CV to reflect the essential skills mentioned in the job description. Emphasize your experience with AWS, data engineering best practices, and any relevant projects that showcase your ability to develop enterprise-grade ETL/ELT data pipelines.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and skills to the specific requirements of the role. Use clear examples to demonstrate how you have successfully translated business requirements into technical solutions in previous positions.
Follow Application Instructions: When you're ready to apply, click the 'Apply' button and ensure you follow all instructions carefully. Double-check that all your documents are included and formatted correctly before submission.
How to prepare for a job interview at Austin Fraser
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS services like Athena, Redshift, and Glue. Be prepared to discuss specific projects where you utilized these tools and the impact they had on data transformation.
✨Demonstrate Data Engineering Best Practices
Discuss your knowledge of data manipulation techniques and best practices in data engineering. Provide examples of how you've implemented unit testing, version control, and code reviews in your previous roles.
✨Communicate Effectively with Non-Technical Stakeholders
Since strong interpersonal skills are essential, practice explaining complex technical concepts in simple terms. Prepare scenarios where you've successfully translated business requirements into technical solutions.
✨Prepare for Technical Questions on CI/CD and Containerization
Expect questions about your experience with CI/CD technologies like Git and Jenkins, as well as containerization tools like Docker and Kubernetes. Be ready to explain how you've used these technologies in past projects.
