Senior Analytics Solution Architect

Salary: £63, per year

• Bachelors degree
• Experience in IT development or implementation/consulting in the software or Internet industries
• Experience with in specific technology domain areas such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and 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 such as 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 Quick Sight
• Experience migrating enterprise data warehouses such as Teradata, Oracle Exadata, Netezza, or Hadoop environments to cloud-native analytics platforms

• Architect analytics solutions by designing data lake, lakehouse, warehouse, and streaming architectures using AWS analytics services such as Redshift, Athena, EMR, Glue, Kinesis, Quick Sight, and Open Search
• Lead analytics modernisation by guiding customers migrating from legacy platforms such as Teradata, Oracle, Netezza, and Hadoop to cloud-native analytics, including ETL refactoring and performance validation
• Partner with AWS AGS sales teams to identify analytics opportunities, shape deal strategy, and position AWS against competitive alternatives
• Deliver Proofs of Concept by building prototypes demonstrating query performance, cost optimisation, and scalability for customer-specific analytics workloads
• Create reference architectures by developing reusable blueprints for streaming ingestion, CDC pipelines, data mesh, and governed data sharing patterns
• Advise enterprise customers by translating BI, reporting, and advanced analytics requirements into scalable, cost-effective technical designs
• Influence AWS service roadmaps by providing customer feedback to analytics product teams, participating in private betas, and shaping future service capabilities
• Collaborate across specialist teams by working with AI/ML, Security, and Migration specialists to connect analytics foundations to downstream ML and GenAI workloads

• AI
• AWS
• Open Search
• Redshift
• Architect
• Cloud
• ETL
• Hadoop
• Oracle
• Security
• Business Intelligence
• Support

We are the AWS Analytics Specialist Solutions Architecture team, a group of data professionals 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 from data engineering, BI, data science, and software development, and our inclusive team culture encourages everyone to contribute authentically.

We also prioritise work-life balance through flexible working arrangements, because we believe sustainable careers produce the best outcomes for our customers and ourselves. Amazon is an equal opportunities employer committed to a diverse workforce and inclusive culture.

last updated 36 week of 2026