Delivery Consultant- Data, WWPS ProServe Data and Machine Learning

Amazon is hiring a Delivery Consultant- Data, WWPS ProServe Data and Machine Learning. It pays $131k-$178k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Works on AI ●●●○ is how Level rates this AI consultant role: the daily work is on AI products, without building the model.
The posting mentions AWS, data engineering and cloud architecture 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

Design and build scalable cloud data platforms and machine learning solutions for public sector clients as an AWS delivery consultant.

AWS

data-engineeringcloud-architecturedata-warehousingmachine-learning

Are you a Data Engineering and Architecture specialist? Do you have experience designing and building Data Lakes, Data Warehouses, and scalable data platforms in the cloud? Do you want to help Public Sector customers deploy mission-critical data and ML solutions at scale? Are you detail-oriented, creative, and collaborative? Then this is the position for you.

As a Delivery Consultant specializing in Data Engineering & Architecture, you will provide exceptional technical design and thought leadership for cloud data applications, working with a world-class team serving federal, state, local government, and national security customers. You will design, build, and optimize data architectures and platforms that help organizations achieve their missions through data-driven decision making. You will gain the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry across the breadth of enterprise data architecture.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

This is a customer-facing role. You will work from one of the listed locations (or customer sites) Monday through Friday each week. Travel to client locations to deliver professional services may be required. This is not a remote position.

This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.

Key job responsibilities
As an experienced data professional, you will be responsible for:
- Helping clarify customer business outcomes during project discovery and translating them into data architecture and engineering solutions
- Designing and building data analytics applications that are secure, scalable, reliable, performant, and cost-effective
- Collaborating with stakeholders to gather requirements, assess current infrastructure, and propose effective data migration and modernization strategies
- Identifying, mitigating, and communicating risks related to solution and service constraints by making informed technical trade-offs
- Acting as a trusted advisor to customers on industry trends, emerging data technologies, and innovative solutions
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

About the team
Diverse Experiences
Amazon 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.

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 in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Mentorship and 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.

Basic qualifications

- Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field
- 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code
- Understanding of distributed systems, data integration techniques (ETL vs. federation), database optimization (partitioning, indexing), and relational database performance tuning
- Current, active US Government Security Clearance of Top Secret or above

Preferred qualifications

- Experience building data platforms with AWS services such as Glue, Lake Formation, Athena, Kinesis, and Lambda
- Experience with CI/CD automation (CDK or Terraform), physical data modeling (Dimensional, Data Vault), and data pipeline optimization
- Experience leading end-to-end data engineering projects including migrating on-premises data applications to cloud-native architectures
- Experience interfacing with customers at different organizational levels to translate requirements into scalable data architectures
- Knowledge of security and compliance standards (e.g., FedRAMP, NIST, HIPAA)

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually
USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually

How we rate this

Delivery Consultant- Data, WWPS ProServe Data and Machine Learning 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

Delivery Consultant- Data, WWPS ProServe Data and Machine Learning is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $131k-$178k a year.
The role is based in US, VA, Herndon.
The job was posted on April 22, 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

Data EngineeringCloud ArchitectureData WarehousingMachine learningAWS

Also common in AI consultant jobs at this level

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Pay

This job starts at: $131k
Typical AI consultant job: $151k

This posting starts 13% below the typical AI consultant job. See AI consultant jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where cloud architecture was part of your work. What did you do?
Tell me about a project where data warehousing was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Engineering, Cloud Architecture, Data Warehousing, Machine learning, and AWS. 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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