Senior Analytics Solution Architect

AmazonWebServices; Greater London; Hybrid; GBP 63,000 - 103,000; Full time

Benefits offered by this job

Flexible working arrangements

Equal opportunities employer

Inclusive team culture

Job summary

Amazon in the United Kingdom is seeking a Senior Analytics Solutions Architect to design data lake, lakehouse, and streaming architectures using AWS analytics services. You will lead analytics modernisation, migrating from legacy platforms to cloud-native solutions and partner with AWS sales to identify opportunities.

The role requires communicating with senior technical and business audiences, shaping future analytics capabilities, and contributing to scalable BI and data sharing patterns.

Qualifications

• Bachelor's degree required.
• Experience in IT development or implementation/consulting in software or internet industries.
• Experience in analytics architecture including data lakes, warehousing, ETL/ELT pipelines and real-time streaming.
• Ability to communicate with executive stakeholders and clients.

Responsibilities

• Architect analytics solutions using AWS services (Redshift, Athena, EMR, Glue, Kinesis, QuickSight).
• Lead analytics modernisation: migrate from Teradata/Oracle/Netezza/Hadoop to cloud-native platforms.
• Partner with AWS AGS sales to identify analytics opportunities and shape deals.
• Deliver Proofs of Concept showing performance, cost optimisation, and scalability.
• Create reference architectures for streaming ingestion and data sharing patterns.
• Advise on scalable, cost-effective BI/analytics designs.
• Collaborate with AI/ML, Security, and Migration teams to connect analytics to downstream workloads.

Skills

Executive stakeholder communication

Cloud architecture planning

Data modeling

Data warehousing

ETL design

Education

Bachelors degree

Tools

AWS analytics services (Redshift, Athena, Glue, EMR, Kinesis, QuickSight)

OpenSearch

Hadoop

Job description

Salary: £63,000 - 103,000 per year

Requirements:

• Bachelors degree
• Experience in IT development or implementation/consulting in the software or Internet industries
• Experience within 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 QuickSight
• Experience migrating enterprise data warehouses such as Teradata, Oracle Exadata, Netezza, or Hadoop environments to cloud-native analytics platforms

Responsibilities:

• Architect analytics solutions by designing data lake, lakehouse, warehouse, and streaming architectures using AWS analytics services such as Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch
• 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

Technologies:

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

More:

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