Senior Delivery Consultant: Data Analytics, AWS Professional Services

Amazon is hiring a Senior Delivery Consultant: Data Analytics, AWS Professional Services for a remote role open to applicants in Australia. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this AI consultant role Works on AI ●●●○: the daily work is on AI products, without building the model.
This is listed as a remote role.
The posting mentions Bedrock, SageMaker and Databricks among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Senior cloud architect role specializing in data analytics and GenAI solutions within AWS Professional Services.

BedrockSageMakerDatabricksAWSS3DynamoDBEmrKinesisRedshiftAthenaGlue

cloud-architecturedata-analyticsbig-datagenaidata-engineering

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.
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.

A day in the life
AWS Professional 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.

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.

Basic qualifications

- 5+ years of IT platform implementation in a technical and analytical role experience
- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience in data analytics implementation, with deep expertise in ETL/ELT pipeline design and deployment (e.g. Informatica, Glue, DBT, PySpark)
- Hands-on experience implementing AWS and/or third-party data analytics services (e.g. Redshift, Glue, LakeFormation, Databricks, dbt, Spark)

Preferred qualifications

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Strong understanding of Data Mesh principles — domain-oriented data ownership, data-as-a-product thinking, federated governance, data contracts, and quality SLAs
- Experience designing self-serve data platforms with focus on lineage, cataloguing, and discoverability

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 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Senior Delivery Consultant: Data Analytics, AWS Professional Services at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Delivery Consultant: Data Analytics, AWS Professional Services is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in AU, WA, Perth and is marked remote.
The job was posted on August 19, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Cloud ArchitectureData AnalyticsBig DataGenAIData EngineeringBedrockSageMakerDatabricks

Also common in AI consultant jobs at this level

AI agents Python Machine learning LLM RAG SQL

Pay

Typical AI consultant job: $151k

This posting doesn't list pay. Use the typical AI consultant figure when pay comes up. See AI consultant jobs

Questions you could be asked

Tell me about a project where cloud architecture was part of your work. What did you do?
Tell me about a project where data analytics was part of your work. What did you do?
Tell me about a project where big data was part of your work. What did you do?
Tell me about a project where genai was part of your work. What did you do?
Tell me about a project where data engineering was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Cloud Architecture, Data Analytics, Big Data, GenAI, and Data Engineering. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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