Location
London

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
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, you will partner with customers to architect end-to-end analytics platforms including data lakes, lakehouses, real-time streaming pipelines, business intelligence, and advanced analytics. You will leverage the breadth of AWS's analytics portfolio such as Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch.

You will 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. You will translate ambiguous business requirements into scalable, cost-effective analytics architectures that accelerate time-to-insight.

Joining a team of specialist Solutions Architects passionate about query performance, storage optimisation, and governance frameworks, you will help customers build data-driven cultures. The role involves solving challenging analytics problems, contributing to AWS service evolution through direct feedback to engineering teams, and elevating the broader analytics community through thought leadership, workshops, and reference architectures.

Key responsibilities include architecting analytics solutions, leading analytics modernisation efforts, partnering with AWS Global Sales teams, delivering proofs of concept, creating reference architectures, advising enterprise customers, influencing AWS service roadmaps, and collaborating across specialist teams including AI/ML, Security, and Migration.

Experience
- Experience in IT development or implementation/consulting within software or Internet industries
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience architecting analytics or data platform solutions such as data warehousing, data lakes, ETL/ELT pipelines, BI, or real-time streaming
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience delivering technical presentations, workshops, or thought leadership content to senior technical and business audiences

About you
- Passionate about data and analytics with a strong customer focus
- Ability to translate complex business requirements into scalable, cost-effective technical designs
- Collaborative team player with excellent communication skills
- Comfortable working in a fast-paced, innovative environment
- Enthusiastic about continuous learning and contributing to community knowledge sharing

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