Delivery Consultant

**DESCRIPTION**:
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 Service 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.

Key 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.

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.

About the team
Diverse Experiences

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**:

- 5+ years of IT implementation experience
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience Implementing AWS and/or third-party Data Analytics aligned services. (eg. Amazon Redshift, AWS Glue and AWS LakeFormation, dbt, spark and python)

**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 A