Sr. Streaming Specialist Solutions Architect, WWSO Data & AI GTM
Amazon Web Services Australia Pty Ltd•3h ago
AU, NSW, SydneyOnsiteFull-timeSenior Level8+ yrs exp
Top focus
Solutions ArchitectVp Data
- Amazon Web Services (AWS) is looking for a Specialist Solutions Architect (SSA). As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems. Do you enjoy solving novel and unique technical challenges for customers? Become an AWS Specialist SA! The Worldwide Specialist Organization (WWSO) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer’s most complex and business critical problems to build and execute go-to- market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you’ll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam. We are looking for a Streaming Analytics Specialist Solutions Architect to join our AWS team. In this role, you will serve as a Subject Matter Expert (SME), working directly with AWS customers to design cloud-based analytics solutions using Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, Amazon Data Firehose, Amazon Managed Service for Apache Flink, and the broader analytics ecosystem—including Amazon Redshift, Spark Streaming on Amazon EMR, Data Lake architecture, Iceberg tables, S3 tables, Athena, and SageMaker Lakehouse. This is a deeply technical, customer-facing role for someone who thrives on solving complex data challenges and enabling organizations to become truly data-driven. You will help customers build the data foundation required to maximize the value of their AI projects and investments. As a trusted customer advocate, you will help organizations understand advanced cloud-based solutions and migrate existing analytics workloads to the cloud. You will also have the opportunity to shape and execute a strategy to build mind share and drive broad adoption of AWS across organizations ranging from startups to large enterprise customers. Success in this role requires the ability to link technology with measurable business value. Key job responsibilities - Provide deep technical expertise for customer engagements involving AWS streaming and analytics services, including Amazon MSK and Amazon Kinesis. Design and deploy scalable, high-performance analytics solutions. - Represent the voice of the customer
- bring customer feedback to product teams to influence feature development and future product roadmap. - Provide advanced technical knowledge to your domain aligned GTM teams to unblock our customers’ largest and most critical business challenges. - Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. - Partner with Business Development teams to define the technical components of best in class GTM concepts, solutions, and initiatives. - Develop and support an AWS internal community of technical subject matter experts worldwide. - Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation
- consulting in applications and infrastructures experience - 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- Experience migrating or transforming legacy customer solutions to the cloud - Experience architecting/operating solutions built on AWS - Experience with presentations and speaking with executives, IT, management
- developers - Hands-on experience designing streaming analytics architectures using Kinesis, Kafka, Flink
- similar for real-time dashboards, alerting
- event-driven data pipelines Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Required skills
AWSApache KafkaAmazon KinesisAmazon RedshiftSparkAmazon EMRData LakeS3AthenaSageMaker