Cloud Architect: Data Analytics & GenAI, AWS Professional Services Public Sector

Amazon logo

Amazon

full-time

Posted: October 6, 2025

Number of Vacancies: 1

Job Description

Are you an AWS Data Analytics consultant with GenAI experience? Do you have real-time AWS Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake and Data Engineering experience? Do you have AWS GenAI experience?Do you like to solve the most complex and high scale (billions+ records) data challenges in the world today? Do you like working on 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 AWS Delivery Consultant 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 https://www1.defence.gov.au/security/clearances).Key job responsibilitiesExpertise: 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 our clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI Services.A day in the lifeAWS 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 teamDiverse ExperiencesAWS 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 CultureAWS 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 GrowthWe’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 BalanceWe 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.

Locations

  • Australia, ACT, Canberra, Canberra, ACT, Australia
  • Australia, QLD, Brisbane, Brisbane, QLD, Australia
  • Australia, WA, Perth, Perth, WA, Australia
  • Australia, NSW, Sydney, Sydney, NSW, Australia
  • Australia, VIC, Melbourne, Melbourne, VIC, Australia

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

180,000 - 250,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - 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.intermediate

Required 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. (experience)

Preferred Qualifications

  • - 5+ years of IT implementation experience (experience, 5 years)
  • - Experience and technical expertise (design and implementation) in cloud computing technologies (experience)
  • Acknowledgement of country: (experience)
  • 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. (experience)
  • IDE statement: (experience)

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 our clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI Services.

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Cloud Architect: Data Analytics & GenAI, AWS Professional Services Public Sector

Amazon logo

Amazon

full-time

Posted: October 6, 2025

Number of Vacancies: 1

Job Description

Are you an AWS Data Analytics consultant with GenAI experience? Do you have real-time AWS Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake and Data Engineering experience? Do you have AWS GenAI experience?Do you like to solve the most complex and high scale (billions+ records) data challenges in the world today? Do you like working on 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 AWS Delivery Consultant 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 https://www1.defence.gov.au/security/clearances).Key job responsibilitiesExpertise: 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 our clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI Services.A day in the lifeAWS 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 teamDiverse ExperiencesAWS 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 CultureAWS 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 GrowthWe’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 BalanceWe 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.

Locations

  • Australia, ACT, Canberra, Canberra, ACT, Australia
  • Australia, QLD, Brisbane, Brisbane, QLD, Australia
  • Australia, WA, Perth, Perth, WA, Australia
  • Australia, NSW, Sydney, Sydney, NSW, Australia
  • Australia, VIC, Melbourne, Melbourne, VIC, Australia

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

180,000 - 250,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - 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.intermediate

Required 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. (experience)

Preferred Qualifications

  • - 5+ years of IT implementation experience (experience, 5 years)
  • - Experience and technical expertise (design and implementation) in cloud computing technologies (experience)
  • Acknowledgement of country: (experience)
  • 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. (experience)
  • IDE statement: (experience)

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 our clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI Services.

Target Your Resume for "Cloud Architect: Data Analytics & GenAI, AWS Professional Services Public Sector"

Get personalized recommendations to optimize your resume specifically for Cloud Architect: Data Analytics & GenAI, AWS Professional Services Public Sector. Our AI analyzes job requirements and tailors your resume to maximize your chances.

Keyword optimization
Skills matching
Experience alignment

Check Your ATS Score for "Cloud Architect: Data Analytics & GenAI, AWS Professional Services Public Sector"

Find out how well your resume matches this job's requirements. Our Applicant Tracking System (ATS) analyzer scores your resume based on keywords, skills, and format compatibility.

Instant analysis
Detailed feedback
Improvement tips

Documents

Tags & Categories

aws.team-product-program-managementamazon.artificial-intelligenceProject/Program/Product Management--Technical