Senior Analytics Solution Architect, UK & Ireland, Amazon Global Sales, AWS

Drive the future of analytics and data intelligence by designing architectures that turn raw data into actionable insights at scale. As a Senior Analytics Solutions Architect youll partner with customers to architect end-to-end analytics platforms from data lakes and lakehouses to real-time streaming pipelines business intelligence and advanced analytics leveraging the breadth of AWSs analytics portfolio including Amazon Redshift Athena EMR Glue Kinesis QuickSight and OpenSearch.

Youll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation challenges whether migrating from legacy on-premises data warehouses building unified data platforms implementing streaming analytics or operationalising ML-ready data foundations. Youll translate ambiguous business requirements into scalable cost-effective analytics architectures that accelerate time-to-insight.

You will join a team of specialist Solutions Architects who live and breathe data passionate about query performance storage optimisation governance frameworks and helping customers build data-driven cultures. We thrive on solving the hardest analytics challenges contributing to AWS service evolution through direct feedback loops with engineering teams and elevating the broader analytics community through thought leadership workshops and reference architectures.

Key job responsibilities
Architect analytics solutions design data lake lakehouse warehouse and streaming architectures using AWS analytics services (Redshift Athena EMR Glue Kinesis QuickSight OpenSearch)

Lead analytics modernisation guide customers migrating from legacy platforms (Teradata Oracle Netezza Hadoop) to cloud-native analytics including ETL refactoring and performance validation

Partner with AWS AGS sales teams collaborate with Account Managers and Account Solutions Architects to identify analytics opportunities shape deal strategy and position AWS against competitive alternatives

Deliver Proofs of Concept build prototypes demonstrating query performance cost optimisation and scalability for customer-specific analytics workloads

Create reference architectures develop reusable blueprints for streaming ingestion CDC pipelines data mesh and governed data sharing patterns

Advise enterprise customers translate BI reporting and advanced analytics requirements into scalable cost-effective technical designs

Influence AWS service roadmaps provide customer feedback to analytics product teams participate in private betas and shape future service capabilities

Collaborate across specialist teams work with AI/ML Security and Migration specialists to connect analytics foundations to downstream ML and GenAI workloads

About the team
Were the AWS Analytics Specialist Solutions Architecture team a group of data professionals deeply passionate about query performance lakehouse design and helping customers turn data into decisions. We work across the full AWS analytics portfolio partnering with service teams to shape product direction and with customers to solve their hardest data challenges.

We value diverse backgrounds whether you come from data engineering BI data science or software development. Our inclusive team culture empowers everyone to contribute authentically and our employee-led communities celebrate the differences that make us stronger. We also prioritise work-life balance through flexible working arrangements because we believe sustainable careers produce the best outcomes for our customers and ourselves.

- Bachelors degree
- Experience in IT development or implementation/consulting in the software or Internet industries
- Experience within specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics).
- Experience in design implementation or consulting in applications and infrastructures
- Experience communicating across technical and non-technical audiences including executive level stakeholders or clients
- Experience architecting analytics or data platform solutions (e.g. data warehousing data lakes ETL/ELT pipelines BI or real-time streaming)
- Experience delivering technical presentations workshops or thought leadership content to senior technical and business audiences

- AWS certification such as AWS Solutions Architect or a similar cloud certification
- Knowledge of data structures data modeling and database schema
- Hands-on experience with AWS analytics services such as Amazon Redshift Athena Glue EMR Kinesis MSK or QuickSight
- Experience migrating enterprise data warehouses (e.g. Teradata Oracle Exadata Netezza) or Hadoop environments to cloud-native analytics platforms

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