Cloud Architect Data Analytics

AWS Global Services includes experts from across AWS who help our customers design build operate and secure their cloud environments. Customers innovate with AWS Professional Services upskill with AWS Training and Certification optimize with AWS Support and Managed Services and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners AWS Sovereign Cloud AWS International Product and the Generative AI Innovation Center. Youll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. 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 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. 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. 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. Were 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. Use ML and Generative AI tools such as Amazon SageMaker and Amazon Bedrock to provide a scalable cloud environment for our customers to label data build train tune and deploy their models A day in the life AWS Professional Services (ProServe) is a global team of consultants that helps enterprise customers achieve their business outcomes on AWS Cloud. ProServe consultants work with hundreds of the worlds largest enterprises to help them deliver their cloud initiatives. 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 Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work / Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve. 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 with AWS data warehouse and reporting technologies like Redshift Athena S3 etc. Experience in strategic thinking about business enterprise software products and new technology platforms and architectures or equivalent Experience in design and execution of analytics projects Experience in quantitative role (engineering process re-engineering quality assurance) or experience with advanced use of SQL for data mining and business intelligence Experience implementing AWS services in a variety of distributed computing environments 4 years of external or internal customer facing complex and large scale project management experience or AWS Professional level certification 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. Required Experience : Unclear Seniority Key Skills Close Protection,Credit Control,Customer Service,Government,Analytics Employment Type : Full-Time Experience : years Vacancy : 1 #J-18808-Ljbffr