Cloud Architect: Data Analytics

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.
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 responsibilitiesExpertise: 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.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.In this role, you will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.
You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.Use ML and Generative AI tools, such as Amazon SageMaker and Amazon Bedrock to provide a scalable cloud environment for our customers to label data, build, train, tune and deploy their modelsA day in the lifeAWS Professional Services (ProServe) is a global team of consultants that helps enterprise customers achieve their business outcomes on AWS Cloud.
ProServe consultants work with hundreds of the world's largest enterprises to help them deliver their cloud initiatives.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.
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).
Experience coding in Python, R, Matlab, Java or other modern programming languagePREFERRED 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 mitigationAcknowledgement 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.

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