Delivery Consultant - Data Analytics AWS Professional Services

Are you a Data Analytics specialist Do you have Realtime 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

At Amazon Web Services were hiring highly technical cloud architect specialised in data analytics to collaborate with our customers and partners to derive business value from latest in analytics services. Our consultants will develop and deliver proofofconcept projects technical workshops and support complex projects. These professional services engagements will focus on customer solutions such as batch and realtime data capture and analysis driving data driven decisions and desired customer outcomes.

Key job responsibilities
Expertise Collaborate with presales 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 and Amazon Quicksight
Solutions Deliver technical engagements with partners and customers. This includes participating in presales 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 AI and Analytics Services.

A day in the life
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. Youll 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 its in our nature to learn and be curious. Our employeeled 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.

Work/Life Balance
We value worklife 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 theres nothing we cant achieve in the cloud.

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

Ability to think strategically about business product and technical challenges in an enterprise environment
Hands on experience leading largescale 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 customers environment and drive discussions with senior personnel regarding tradeoffs 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation disability age or other legally protected attributes.

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 youre applying in isnt listed please contact your Recruiting Partner.