Cloud Architect: Data Analytics GenAI

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

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