Data Consultant, AWS Professional Services
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Description
We’re seeking an experienced Data Engineering Consultant to join our AWS Professional Services Data & Analytics practice. In this role, you’ll help customers design, implement, and optimise modern data platforms on AWS, focusing on scalable, secure, and cost‑effective solutions that drive business value.
Key Responsibilities
* Design and implement modern data architectures on AWS, focusing on lakehouse patterns, data mesh principles, and serverless analytics solutions
* Lead technical discovery workshops and architecture design sessions with customers to understand requirements and propose scalable solutions
* Develop and implement batch and streaming data pipelines using AWS services (e.g. Glue, MWAA, Step Functions, Kinesis, and Managed Streaming for Kafka (MSK))
* Optimise data storage and retrieval through effective data modeling, partitioning, and indexing strategies across relational, NoSQL, and analytical databases
* Establish DataOps practices including CI/CD pipelines, data quality frameworks, and operational monitoring for data platforms
* Implement data governance, security, and cataloging frameworks to ensure compliance, lineage tracking, and controlled access to data assets (e.g. DataZone, SageMaker Unified Studio)
* Design and optimise both batch and real‑time data processing solutions, incorporating streaming architectures where needed
* Provide technical leadership and best‑practice guidance to customer teams throughout the implementation lifecycle
* Create reusable assets, architectural patterns, and documentation to accelerate future customer engagements
* Able to work from AWS offices in London, Manchester, Bristol, or Cambridge, when not at the customer site
This role requires a UK national who can obtain and maintain a UK Government Security Clearance. For details, see https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels
Basic Qualifications
* Experience facilitating discussions with senior leadership regarding technical/architectural trade‑offs, best practices, and risk mitigation
* Experience with integration of cloud services with on‑premise technologies from Microsoft, IBM, Oracle, HP, SAP
* Experience developing software code in one or more programming languages (Java, Python, etc.)
* Relevant experience in building large‑scale machine learning or deep‑learning models and Generative AI model development
* Eligibility for the UK Security Clearance
Preferred Qualifications
* Knowledge of the primary AWS services (EC2, ELB, RDS, Route53, & S3)
* Experience with software development life cycle (SDLC) and agile/iterative methodologies
* Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
* Experience communicating across technical and non‑technical audiences
* Experience using Python and building models with deep‑learning frameworks like TensorFlow, Keras, PyTorch, MXNet
* Fluency in written and spoken English
Equal Opportunity and Other Statements
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Company – AWS EMEA SARL (UK Branch)
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