Data Consultant, AWS Professional Services
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Valuable position for data consultants focused on modern data engineering practices and AWS solutions, emphasizing customer impact and technical leadership.
- Key role in modernizing clients' data architectures
- Prominent position within AWS Professional Services
- Focus on delivering customer-focused data solutions
- Requires experienced candidates in data engineering
Pros
- Opportunity to work on scalable data architecture implementations
- Involvement with a prominent cloud computing platform (AWS)
- Role emphasizes customer engagement and technical consulting
Cons
- Potentially high travel commitments based on customer locations
- Complex data engineering projects requiring significant expertise
- May involve extensive collaboration across teams
Who it's for
Mid to Senior • On-site with customer site visits
Good fit
- Data consultants with AWS knowledge
- Professionals passionate about data engineering
- Individuals interested in client-facing technical roles
Not recommended for
- Entry-level data engineers
- Those seeking fully remote engagements
- Candidates who prefer less client interaction
Motivation fit
Key skills
About the job
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.
As a Data Engineering Consultant, you'll work directly with customers to modernize their data architectures, implement robust data pipelines, and establish DataOps practices that enable analytics at scale. You'll serve as a technical advisor throughout the customer's data modernisation journey, from initial architecture design through to implementation and optimisation.
Key job 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( Eg: 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. (eg: 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
NB: You will need to be a UK national and able to obtain and maintain a UK Government Security Clearance. Further details found here: https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
