Cloud Architect

Overview
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 and lead teams through high impact projects that use the latest data analytics technologies? This role focuses on collaborating with customers and partners to derive business value from the latest Data Analytics and GenAI services, delivering proof-of-concept projects, technical workshops and supporting complex engagements.
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 MapReduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Bedrock.
Solutions: Deliver technical engagements with partners and customers, including participating in pre-sales visits, understanding customer requirements, creating consulting proposals and packaged data analytics service offerings.
Delivery: Engage in projects proving the use of AWS services to support new distributed computing solutions, often spanning private and public cloud deployments. engagements may include migration and modernization 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, provide feedback to technology roadmaps, and share real-world implementation challenges with recommendations to simplify adoption and drive value.
Push the envelope: Explore bold possibilities with clients to satisfy business needs through Data Analytics and GenAI services.
About the team
Diverse Experiences: AWS values diverse experiences. If you do not meet all preferred qualifications, you are encouraged to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world\'s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by customers from startups to Global 500 companies.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people. Our inclusion events foster collaboration, and our ongoing innovation is fueled by the diverse ideas and perspectives of our teams.
Mentorship & Career Growth
We strive to raise the performance bar and provide knowledge sharing, mentorship, and other career-advancing resources to help you grow.
Work/Life Balance
We value work-life harmony and strive for flexibility so success at work does not come at the expense of home life.
BASIC QUALIFICATIONS
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 in cloud computing technologies
Experience implementing AWS and/or third-party Data Analytics services (e.g., Amazon Redshift, AWS Glue, AWS Lake Formation; dbt, Spark and Python)
PREFERRED QUALIFICATIONS
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 in the customer 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 the AWS accommodations page for more information. If the country/region you\'re applying in isn\'t listed, please contact your Recruiting Partner.
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