AWS Architect (SME)

Experis - ManpowerGroup; Fleet; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading consulting and technology services company is seeking an AWS Architect (SME) to join their Payment Gateway team in Fleet. The role involves providing technical leadership in cloud data engineering, designing complex data solutions, and ensuring best practices in data governance. Ideal candidates will have strong experience with AWS technologies and data engineering principles, along with excellent communication skills.

Qualifications

• Solid experience working on Linux platforms.
• Proficiency in at least one scripting/programming language (e.g., Python, Scala, Java).
• Experience with SQL and NoSQL databases.

Responsibilities

• Drive the design, development, and implementation of complex data pipelines.
• Collaborate with data analysts, data scientists, and business stakeholders.
• Define and enforce data engineering standards and best practices.

Skills

Cloud Data Engineering

Data Quality

Problem Solving

Communication

Education

AWS Certified Data Analytics - Specialty

AWS Certified Solutions Architect

Tools

Jenkins

AWS Glue

AWS Lambda

AWS S3

AWS Redshift

AWS EMR

Docker

Kubernetes

Kafka

Kinesis

Job description

Role Title: AWS Architect (SME)
Duration: 6 Months
Location: Fleet (Hybrid)
Rate: £460 Per Day - Umbrella only

Would you like to join a global leader in consulting, technology services and digital transformation?

Our client is at the forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms.

Role purpose / summary

We are seeking a highly skilled and experienced AWS Architect (SME) to join our dynamic Payment Gateway team in Fleet, UK. As an SME, you will serve as a subject matter expert, providing technical leadership, guidance, and best practices across the team. You will play a critical role in designing, developing, and implementing complex data solutions on cloud platforms (primarily AWS), ensuring they meet the highest standards of quality, scalability, and performance.
Key Responsibilities:
* Serve as a subject matter expert in cloud data engineering, providing technical guidance and mentorship to the team.
* Drive the design, development, and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g., AWS Glue, AWS Lambda, AWS S3, AWS Redshift, AWS EMR).
* Develop and maintain data quality checks, data validation rules, and data lineage documentation.
* Collaborate with data analysts, data scientists, business stakeholders, and product owners to understand their data needs and translate them into innovative and effective technical solutions.
* Troubleshoot and resolve complex data quality issues, performance bottlenecks, and production incidents.
* Participate in the evaluation, selection, and implementation of new data technologies and tools.
* Adhere to and champion best practices in data engineering, including data security, privacy, and governance.
* Define and enforce data engineering standards, processes, and best practices within the team.
* Develop and maintain CI/CD pipelines for data engineering workflows using tools like Jenkins.
* Automate data ingestion, transformation, and loading processes.
* Work closely with DevOps teams and other engineering teams to ensure smooth deployment and operations of data pipelines.
* Experience working on Linux platforms and managing data on Linux servers.
* Stay abreast of the latest advancements in cloud computing and data engineering technologies.
* Contribute to the development and improvement of the team's overall performance and efficiency.
* May lead small projects or initiatives within the data engineering team.

Qualifications:
* Solid experience working on Linux platforms.
* Experience with CI/CD pipelines and tools like Jenkins.
* Strong understanding of DevOps methodologies and principles.
* Solid understanding of data warehousing, data modeling, and data integration principles.
* Proficiency in at least one scripting/programming language (e.g., Python, Scala, Java).
* Experience with SQL and NoSQL databases.
* Familiarity with data quality and data governance best practices.
* Strong analytical and problem-solving skills.
* Excellent communication, interpersonal, and presentation skills.
Desired Skills:
* Experience with containerization technologies (e.g., Docker, Kubernetes).
* Experience with data streaming platforms (e.g., Kafka, Kinesis).
* Experience with data visualization and business intelligence tools.
* Experience with Agile development methodologies.
* AWS Certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect)

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!