Cloud Architect: Data Analytics & GenAI

Are you a Cloud Architect with GenAI experience Do you have real-time Data Analytics Data Warehousing Big Data Modern Data Strategy Data Lake and Data Engineering experience

Do you like to solve the most complex and high scale (billions records) data challenges in the world today Do you like leading teams through high impact projects that use the latest data analytics technologies Would you like a career path that enables you to progress with the rapid adoption of cloud computing

AWS Professional Service are hiring a highly technical Cloud Architect specialised in Data Analytics and GenAI to collaborate with our customers and partners to derive business value from the latest Data Analytics and GenAI services. Our consultants will develop and deliver proof-of-concept projects technical workshops and support complex projects. These professional services engagements will focus on customer solutions such as batch real-time data capture and analysis driving data driven decisions and desired customer outcomes.




Key job responsibilities
Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue Amazon S3 Amazon DynamoDB Amazon Relational Database Service (RDS) Amazon Elastic Map Reduce (EMR) Amazon Kinesis Amazon Redshift Amazon Athena AWS Lake Formation Amazon DataZone Amazon SageMaker Amazon Quicksight and Amazon Bedrock.

Solutions: Deliver technical engagements with partners and customers. This includes participating in pre-sales visits understanding customer requirements creating consulting proposals and creating packaged data analytics service offerings.

Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements may include migration and modernisation of existing data applications and development of new data applications using AWS cloud services.

Insights: Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.

Push the envelope: Artificial Intelligence is reducing the historical IT constraint on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI Services.



About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
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Work/Life Balance
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- 5 years of IT implementation experience
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs best practices and risk mitigation
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience Implementing AWS and/or third-party Data Analytics aligned services. (eg. Amazon Redshift AWS Glue and AWS LakeFormation dbt spark and python)

- Ability to think strategically about business product and technical challenges in an enterprise environment
- Hands on experience leading large-scale global data analytics projects aligned with business use cases.
- Experience in Data Quality management: Processes to measure and manage data quality enforce data controls and provide data assurance.
- Implementing AWS services in a variety of distributed computing enterprise environments
- Customer facing skills to represent AWS well within the customers environment and drive discussions with senior personnel regarding trade-offs best practices project management and risk mitigation

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 or 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.