Senior Cloud Architect: Data Analytics

2 days ago

Sydney, New South Wales, Australia Amazon Web Services (AWS) Full time
Senior Delivery Consultant - Data Analytics & GenAI, AWS Professional Services Public Sector

Join to apply for the Senior Delivery Consultant - Data Analytics & GenAI, AWS Professional Services Public Sector role at Amazon Web Services (AWS).

Role Overview

Are you a Senior Data Analytics and GenAI consulting specialist? Do you have experience with real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering, and GenAI? Do you possess senior stakeholder engagement experience to support pre-sales and deliver consulting engagements?

Do you enjoy solving complex, high-scale data challenges involving billions of records? Are you passionate about leading teams through impactful projects utilizing the latest data analytics technologies? Would you like a career that grows with the rapid adoption of cloud computing?

AWS Professional Services Public Sector ANZ seeks a highly technical senior cloud architect specialized in Data Analytics and GenAI to collaborate with customers and partners, deriving business value from Data Analytics and GenAI services. Responsibilities include developing proof-of-concept projects, conducting technical workshops, and supporting complex projects focused on customer solutions such as batch and real-time data processing, driving data-driven decisions, and achieving customer outcomes.

Key Responsibilities
  1. Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and utilize AWS services such as AWS Glue, Amazon S3, DynamoDB, RDS, EMR, Kinesis, Redshift, Athena, Lake Formation, DataZone, SageMaker, Quicksight, and Bedrock.
  2. Solutions: Support pre-sales activities and deliver technical engagements, including participating in client visits, understanding requirements, creating proposals, and packaging data analytics services.
  3. Delivery: Manage projects demonstrating AWS services supporting distributed computing solutions, migration, modernization of existing data applications, and development of new data applications using AWS cloud services.
  4. Insights: Work with AWS engineering and support teams to communicate customer needs, provide feedback, and suggest new capabilities to simplify adoption and enhance value.
  5. Innovation: Explore bold possibilities with AI and Data Analytics to find innovative solutions that meet business needs.
About The Team

Our diverse team of experts helps customers design, build, operate, and secure their cloud environments, leveraging emerging technologies and global expertise.

Qualifications

Basic:

  • 10+ years of technical specialist, design, and architecture experience
  • 10+ years of experience with databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
  • 10+ years of consulting, designing, and implementing serverless distributed solutions
  • Australian citizen with the ability to obtain security clearance

Preferred:

  • AWS Professional level certification
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