Engagement Manager

Overview Cloud Architect: Data Analytics & GenAI, AWS Professional Services Public Sector Join to apply for the Cloud Architect: Data Analytics & GenAI, AWS Professional Services Public Sector role at Amazon Web Services (AWS). Responsibilities Expertise: Collaborate with pre-sales, delivery teams, partners and customer teams to implement Data Analytics and GenAI solutions leveraging 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 AWS Data Analytics and GenAI engagements with partners and customers. This includes understanding customer requirements and hands on AWS technical delivery. Delivery: Data Analytics and GenAI engagements may form part of a larger migration and/or 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 clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI Services. A day in the life: AWS Global Services includes experts from across AWS who help 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. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. 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. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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 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 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, there’s nothing we can’t achieve. Basic Qualifications Knowledge of a number of the following AWS Data Analytics and GenAI services: 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, Amazon Bedrock, GenAI. Preferred Qualifications 5+ years of IT implementation experience Experience and technical expertise (design and implementation) in cloud computing technologies Other Must hold or be able to attain an Australian Government Security Vetting Agency clearance (see Company - Amazon Web Services Australia Pty Ltd Job ID: A #J-18808-Ljbffr