📍 Job Overview

Job Title: Cloud Architect: Data Analytics & GenAI, Public Sector
Company: Amazon
Location: Sydney, New South Wales, Australia | Melbourne, Victoria, Australia | Canberra, Australia
Job Type: On-site
Category: Cloud Architect
Date Posted: 2025-08-01
Experience Level: 5-10 years
Remote Status: On-site

🚀 Role Summary

📝 Enhancement Note: This role focuses on leveraging AWS Data Analytics and GenAI services to drive business value and solve complex data challenges in the public sector. It requires a hands-on expert with a strong background in data analytics, big data, and cloud computing technologies.

💻 Primary Responsibilities

📝 Enhancement Note: The primary responsibilities revolve around collaborating with customers and partners, delivering technical engagements, and pushing the envelope with innovative data analytics and GenAI solutions.
Collaborate with pre-sales and delivery teams to help partners and customers learn and use AWS services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon RDS, Amazon EMR, Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon SageMaker, Amazon Quicksight, and Amazon Bedrock.
Deliver technical engagements with partners and customers, including pre-sales visits, understanding customer requirements, creating consulting proposals, and creating packaged data analytics service offerings.
Engage in projects proving the use of AWS services to support new distributed computing solutions, often spanning private cloud and public cloud services. This may include migration and modernization of existing data applications and development of new data applications using AWS cloud services.
Work with AWS engineering and support teams to convey partner and customer needs and feedback, providing input to technology roadmaps and recommending new capabilities to simplify adoption and drive greater value from AWS cloud services.
Push the envelope by imagining bold possibilities and working with clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI Services.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant industry certifications are a plus.

Experience: A minimum of 5 years of IT implementation experience, with a strong focus on cloud computing technologies, data analytics, and data engineering.

Required Skills:

Expertise in AWS services (EC2, EBS, RDS, Route53, S3, etc.)
Experience implementing AWS services in various distributed computing environments
Strong background in data analytics, big data, and data warehousing
Proficiency in cloud computing technologies and infrastructure as code (IaC) tools
Experience leading the design, development, and deployment of business software at scale or recent hands-on technology infrastructure experience

Preferred Skills:

Experience with AWS Data Analytics and GenAI services (Glue, Athena, Redshift, SageMaker, etc.)
Familiarity with data lake and data engineering concepts
Knowledge of data governance, data quality, and metadata management
Experience working with public sector clients and understanding of government security clearances

📝 Enhancement Note: Given the role's focus on data analytics and GenAI, proficiency in relevant tools, programming languages (Python, SQL, etc.), and data visualization platforms is highly desirable.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate a strong understanding of AWS services and cloud architecture by showcasing relevant projects and case studies.
Highlight your experience with data analytics, big data, and data engineering by presenting projects that showcase your ability to design, implement, and optimize data pipelines and data warehouses.
Include examples of your proficiency in data visualization and business intelligence tools, such as Amazon Quicksight or Tableau.
📝 Enhancement Note: Since this role involves working with public sector clients, include any relevant projects or case studies that demonstrate your understanding of government security requirements and data privacy regulations.

Technical Documentation:

Include well-commented code samples and documentation that demonstrate your attention to detail and commitment to code quality.
Showcase your experience with version control systems, such as Git, and explain your approach to collaborative development and code reviews.
Provide examples of your ability to document technical decisions, architecture choices, and project progress.

💵 Compensation & Benefits

Salary Range: Based on market research and regional adjustments, the estimated salary range for this role in Australia is AU$150,000 - AU$200,000 per annum, plus superannuation.

Benefits:

Competitive benefits package, including health insurance, retirement plans, and employee discounts.
Generous vacation and leave policies.
Opportunities for professional development, training, and career advancement within Amazon's vast ecosystem.
📝 Enhancement Note: As a large corporation, Amazon offers a wide range of benefits. Be sure to research and ask about specific benefits during the application process.

Working Hours: Full-time position with standard business hours, Monday to Friday. Occasional overtime may be required to meet project deadlines or support maintenance windows.

🎯 Team & Company Context

🏢 Company Culture

Industry: Amazon operates in the e-commerce, cloud computing, digital streaming, and artificial intelligence sectors. This role focuses on the cloud computing and AI aspects within the public sector.

Company Size: Amazon is a large, multinational corporation with a diverse range of businesses and a vast global presence. This role is part of AWS Professional Services, which provides expertise and support to help customers design, deploy, and manage their cloud environments.

Founded: Amazon was founded by Jeff Bezos in 1994 and has since grown into one of the world's largest and most influential companies.

Team Structure:

The AWS Professional Services team consists of experts who collaborate with customers to design, build, operate, and secure their cloud environments.
This role will work closely with pre-sales teams, delivery teams, and AWS engineering and support teams.
📝 Enhancement Note: Given the role's focus on data analytics and GenAI, this team may also collaborate with AWS AI and Machine Learning teams, as well as other AWS Professional Services teams.

Development Methodology:

Amazon follows Agile and DevOps methodologies to deliver high-quality products and services.
This role will involve working on projects that may follow different methodologies, depending on the client's requirements and best practices.

Company Website: https://www.amazon.com/

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the senior level, focusing on cloud architecture, data analytics, and GenAI. It requires a high level of technical expertise and experience in designing, implementing, and managing complex cloud environments.

Reporting Structure: This role reports to the AWS Professional Services management team and may have opportunities to lead projects or mentor junior team members.

Technical Impact: The role involves working with public sector clients to derive business value from AWS Data Analytics and GenAI services. This includes delivering technical engagements, pushing the envelope with innovative solutions, and providing input to technology roadmaps.

Growth Opportunities:

📝 Enhancement Note: As a large and diverse organization, Amazon offers numerous growth opportunities. These may include:
- Advancing to a principal or distinguished architect role within AWS Professional Services.
- Transitioning to a leadership role, such as a team lead, manager, or director.
- Exploring opportunities within other AWS teams or businesses, such as Amazon Web Services (AWS) AI and Machine Learning, Amazon.com, or Amazon's digital streaming services.

🌐 Work Environment

Office Type: Amazon's offices are modern, collaborative workspaces designed to foster innovation and creativity. This role will be based in one of Amazon's Australian offices in Sydney, Melbourne, or Canberra.

Office Location(s): Sydney, New South Wales, Australia | Melbourne, Victoria, Australia | Canberra, Australia

Workspace Context:

Amazon's offices provide ample workspace, including multiple monitors and testing devices, to support cloud architecture and data analytics work.
The work environment encourages cross-functional collaboration and knowledge sharing between teams and departments.
📝 Enhancement Note: Given the role's focus on data analytics and GenAI, this team may have access to specialized tools and resources to support their work.

Work Schedule: This role follows a standard full-time work schedule, Monday to Friday, with occasional overtime as needed to meet project deadlines or support maintenance windows.

📄 Application & Technical Interview Process

Interview Process:

📝 Enhancement Note: The interview process for this role may include the following stages:
- Phone or video screen: A brief conversation to assess your understanding of the role and your relevant experience.
- Technical deep dive: A detailed discussion of your technical skills and experience, focusing on your proficiency with AWS services, data analytics, and GenAI.
- Case study presentation: Present a case study that demonstrates your ability to design, implement, and optimize data analytics solutions using AWS services.
- Final interview: A conversation with the hiring manager or a panel of stakeholders to assess your cultural fit and alignment with Amazon's leadership principles.

Portfolio Review Tips:

Highlight your experience with AWS services, data analytics, and GenAI by showcasing relevant projects and case studies.
Include examples of your ability to design, implement, and optimize data pipelines, data warehouses, and data analytics solutions.
📝 Enhancement Note: Given the role's focus on public sector clients, include any relevant projects or case studies that demonstrate your understanding of government security requirements and data privacy regulations.

Technical Challenge Preparation:

Brush up on your knowledge of AWS services, with a particular focus on those relevant to data analytics and GenAI.
Familiarize yourself with data analytics and data engineering best practices, as well as emerging trends in the field.
Prepare for questions about your experience with data governance, data quality, and metadata management.

ATS Keywords: AWS, cloud architecture, data analytics, GenAI, big data, data engineering, data warehousing, data lake, AWS services, cloud computing, public sector, government security, data privacy.

🛠 Technology Stack & Web Infrastructure

Cloud Platform: Amazon Web Services (AWS)

Data Analytics & GenAI Tools:

AWS Glue
Amazon S3
Amazon DynamoDB
Amazon RDS
Amazon EMR
Amazon Kinesis
Amazon Redshift
Amazon Athena
AWS Lake Formation
Amazon SageMaker
Amazon Quicksight
Amazon Bedrock

Infrastructure as Code (IaC) Tools:

AWS CloudFormation
AWS CDK
Terraform (optional)

Version Control:

Collaboration & Project Management Tools:

Amazon Chime
Amazon WorkSpaces
Atlassian Suite (Jira, Confluence, Bitbucket)

📝 Enhancement Note: The technology stack for this role is primarily AWS-based, with a focus on data analytics and GenAI services. Familiarity with other cloud providers or relevant open-source tools may be beneficial but is not required.

👥 Team Culture & Values

AWS Professional Services Values:

Customer Obsessed: Focus on delivering value to customers and understanding their unique needs and challenges.
Ownership: Take ownership of your work and be accountable for delivering high-quality results.
Invent and Simplify: Continuously innovate and simplify processes to improve efficiency and effectiveness.
Learn and Be Curious: Embrace a growth mindset and be curious about new technologies, tools, and best practices.
Hire and Develop the Best: Attract, develop, and retain top talent to build a high-performing team.
Insist on the Highest Standards: Hold yourself and others to high standards, and continuously strive for improvement.

Collaboration Style:

AWS Professional Services teams work collaboratively, sharing knowledge and expertise to deliver high-quality solutions for customers.
This role will involve working closely with pre-sales teams, delivery teams, and AWS engineering and support teams to deliver technical engagements and push the envelope with innovative data analytics and GenAI solutions.

📝 Enhancement Note: Given the role's focus on data analytics and GenAI, this team may also collaborate with AWS AI and Machine Learning teams, as well as other AWS Professional Services teams.

⚡ Challenges & Growth Opportunities

Technical Challenges:

📝 Enhancement Note: This role presents several technical challenges, including:
- Designing and implementing scalable, secure, and highly available data analytics solutions using AWS services.
- Optimizing data pipelines and data warehouses for performance, cost-effectiveness, and scalability.
- Working with large datasets and managing data quality, data governance, and metadata management.
- Staying up-to-date with emerging trends in data analytics, big data, and GenAI, and incorporating new technologies into solutions.

Learning & Development Opportunities:

📝 Enhancement Note: As a large and diverse organization, Amazon offers numerous learning and development opportunities, including:
- Access to AWS training and certification programs, as well as other relevant training and development resources.
- Opportunities to work on cutting-edge projects and collaborate with industry experts.
- Mentorship and coaching programs to support your professional growth and development.

💡 Interview Preparation

Technical Questions:

📝 Enhancement Note: Prepare for technical questions that assess your understanding of AWS services, data analytics, and GenAI, as well as your ability to design, implement, and optimize data analytics solutions. Some examples include:
- Can you describe your experience with AWS services, with a focus on those relevant to data analytics and GenAI?
- How have you designed and implemented scalable, secure, and highly available data analytics solutions using AWS services?
- Can you discuss your approach to data governance, data quality, and metadata management?
- How do you stay up-to-date with emerging trends in data analytics, big data, and GenAI, and incorporate new technologies into your solutions?

Company & Culture Questions:

📝 Enhancement Note: Prepare for questions that assess your cultural fit and alignment with Amazon's leadership principles. Some examples include:
- How do you approach working with customers to understand their unique needs and challenges, and deliver high-quality solutions that meet their requirements?
- Can you describe a time when you took ownership of a project or task, and how you ensured its successful completion?
- How do you approach continuous learning and staying curious about new technologies, tools, and best practices?
- How have you contributed to a collaborative and inclusive team culture in your previous roles?

Portfolio Presentation Strategy:

📝 Enhancement Note: Prepare a portfolio presentation that showcases your experience with AWS services, data analytics, and GenAI, as well as your ability to design, implement, and optimize data analytics solutions. Include case studies that demonstrate your understanding of government security requirements and data privacy regulations.

📌 Application Steps

To apply for this cloud architect role focusing on data analytics and GenAI in the public sector at Amazon:

Submit your application through the application link provided on the job listing.
Customize your resume and portfolio to highlight your relevant experience with AWS services, data analytics, and GenAI, as well as your ability to design, implement, and optimize data analytics solutions.
Prepare for the interview process by reviewing the technical and company-specific interview preparation tips outlined above.
Research Amazon's company culture, values, and leadership principles to ensure a strong cultural fit and alignment with the organization's goals and objectives.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Cloud Architect: Data Analytics & GenAI, Public Sector