Amazon Cloud Architect Data Analytics & GenAI AWS Professional Services 

Australia, New South Wales, Sydney 

102962996

Key job responsibilities
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.
In this role, you will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
A day in the life
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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 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). Experience coding in Python, R, Matlab, Java or other modern programming language