At a Glance
- Tasks: Lead teams to tackle complex data challenges using cutting-edge analytics and GenAI technologies.
- Company: Join Amazon Web Services, the leading cloud platform trusted by startups and global enterprises.
- Benefits: Enjoy flexible work-life balance, mentorship opportunities, and a culture that values diversity and inclusion.
- Why this job: Be part of innovative projects that drive real-world impact and shape the future of cloud computing.
- Qualifications: Experience with AWS services and a passion for cloud technology are essential; all backgrounds encouraged to apply.
- Other info: Opportunities for career growth in a supportive and inclusive environment.
The predicted salary is between 48000 - 84000 ÂŁ per year.
Job ID: 2981230 | Amazon Web Services Australia Pty Ltd
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 Services Public Sector ANZ 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.
Must hold or be able to attain an Australian Government Security Vetting Agency clearance (see 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.
A day in the life
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. 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 the primary aws services (ec2, elb, rds, route53 & s3)
– Experience implementing AWS services in a variety of distributed computing environments
PREFERRED QUALIFICATIONS
– 5+ years of IT implementation experience
– Experience and technical expertise (design and implementation) in cloud computing technologies
– Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
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 you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
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Cloud Architect: Data Analytics & GenAI employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Architect: Data Analytics & GenAI
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as AWS Glue, Amazon S3, and Amazon Redshift. Having hands-on experience or projects that showcase your skills with these tools can set you apart during discussions.
✨Tip Number 2
Network with current AWS employees or professionals in the cloud architecture field. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've tackled complex data challenges. Be ready to explain your thought process and the technologies you used, as this will demonstrate your problem-solving abilities and technical expertise.
✨Tip Number 4
Stay updated on the latest trends in Data Analytics and GenAI. Being knowledgeable about emerging technologies and how they can be applied in cloud environments will show your passion for the field and your commitment to continuous learning.
We think you need these skills to ace Cloud Architect: Data Analytics & GenAI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cloud architecture, data analytics, and GenAI. Use specific examples of projects you've worked on that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for cloud computing and data analytics. Mention how your skills can help solve complex data challenges and contribute to AWS's mission.
Highlight Relevant Skills: In your application, emphasise your knowledge of AWS services such as AWS Glue, Amazon S3, and Amazon Redshift. Be specific about your hands-on experience with these technologies.
Showcase Leadership Experience: If you have experience leading teams or projects, make sure to include this in your application. Highlight any high-impact projects you've managed, especially those involving data-driven decision-making.
How to prepare for a job interview at Amazon
✨Showcase Your Technical Expertise
Make sure to highlight your experience with AWS services like Glue, S3, and DynamoDB. Be prepared to discuss specific projects where you've implemented these technologies, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
Prepare examples of complex data challenges you've solved in the past, especially those involving real-time data analytics or big data. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Understand the Company Culture
Familiarise yourself with AWS's values around diversity, inclusion, and work-life balance. Be ready to discuss how your personal values align with theirs and how you can contribute to their inclusive team culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and future projects. This shows your genuine interest in the position and helps you assess if the company is the right fit for you.