The posting
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'll 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 AWS's analytics portfolio including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch.
You'll 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'll 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 We're 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.
- Bachelor's 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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