Verified Job
IT / Software / Data Analyst
Delivery Consultant - Software Engineering, AWS Professional Services
IT / Software / Data Analyst
#628096
Remote / WFH
Job Description
Are you interested in helping build the next generation of digital products with the largest and most innovative companies in Australia and New Zealand? Come join Amazon Web Services (AWS) Professional Services as a Technical Program Manager specializing in software engineering and application development. AWS Professional Services helps millions of businesses in 150+ countries transform their operations and applications using the power of AWS. If you're passionate about leading technical programs, delivering complex solutions, and enabling customers to build better products using AWS, you've come to the right place.
We are seeking a hands-on Delivery Consultant with deep software engineering or cloud architecture expertise to lead complex technical consulting engagements within AWS Professional Services. The ideal candidate will combine strong technical depth with proven product management capabilities, possessing both the software development background to understand complex architectures and code, and the curiosity to invent on behalf of our customers and leverage AWS services particularly in AI and ML. You'll work directly with customers to deliver innovative AWS solutions, leveraging your technical expertise to ensure successful outcomes while maintaining the highest standards of quality and security.
Key job responsibilities
- Expertise - Collaborate with pre-sales and delivery teams to help partners and customers learn and use AWS services to build and launch products
- Solutions - Deliver technical engagements with partners and customers. This includes understanding customer requirements, creating consulting proposals and creating 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 modernization of existing applications and development of new 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, AI and Analytics Services.
A day in the life
AWS Professional 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
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
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
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 in the cloud.
BASIC QUALIFICATIONS
Experience of designing and implementing Enterprise Scale Big Data Platforms, Data Lakes and/or Data Warehouse.
Experience in leading discovery and design workshops including estimating, scoping and delivering customer proposals aligned with Analytics Solutions
Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro, Parquet, Iceberg, Hudi)
Experience developing software and data engineering code in one or more programming languages (Java, Python, PySpark, Node, etc)
AWS and other Data and AI aligned Certifications
PREFERRED QUALIFICATIONS
Ability to think strategically about business, product, and technical challenges in an enterprise environment
Hands on experience leading large-scale global data analytics projects aligned with business use cases.
Experience in Data Quality management: Processes to measure and manage data quality, enforce data controls, and provide data assurance.
Implementing AWS services in a variety of distributed computing, enterprise environments
Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
We are seeking a hands-on Delivery Consultant with deep software engineering or cloud architecture expertise to lead complex technical consulting engagements within AWS Professional Services. The ideal candidate will combine strong technical depth with proven product management capabilities, possessing both the software development background to understand complex architectures and code, and the curiosity to invent on behalf of our customers and leverage AWS services particularly in AI and ML. You'll work directly with customers to deliver innovative AWS solutions, leveraging your technical expertise to ensure successful outcomes while maintaining the highest standards of quality and security.
Key job responsibilities
- Expertise - Collaborate with pre-sales and delivery teams to help partners and customers learn and use AWS services to build and launch products
- Solutions - Deliver technical engagements with partners and customers. This includes understanding customer requirements, creating consulting proposals and creating 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 modernization of existing applications and development of new 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, AI and Analytics Services.
A day in the life
AWS Professional 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
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
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
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 in the cloud.
BASIC QUALIFICATIONS
Experience of designing and implementing Enterprise Scale Big Data Platforms, Data Lakes and/or Data Warehouse.
Experience in leading discovery and design workshops including estimating, scoping and delivering customer proposals aligned with Analytics Solutions
Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro, Parquet, Iceberg, Hudi)
Experience developing software and data engineering code in one or more programming languages (Java, Python, PySpark, Node, etc)
AWS and other Data and AI aligned Certifications
PREFERRED QUALIFICATIONS
Ability to think strategically about business, product, and technical challenges in an enterprise environment
Hands on experience leading large-scale global data analytics projects aligned with business use cases.
Experience in Data Quality management: Processes to measure and manage data quality, enforce data controls, and provide data assurance.
Implementing AWS services in a variety of distributed computing, enterprise environments
Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
