Delivery Consultant- Data, WWPS ProServe Data and Machine Learning; AWS
Listed on 2026-07-18
-
IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations
Delivery Consultant
- Data, WWPS Pro Serve Data and Machine Learning
Job : | Amazon Web Services, Inc.
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. You will work 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.
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, providing focused guidance through our global specialty practices.
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 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- Help clarify customer business outcomes during project discovery and translate them into data architecture and engineering solutions.
- Design and build data analytics applications that are secure, scalable, reliable, performant, and cost‑effective.
- Collaborate with stakeholders to gather requirements, assess current infrastructure, and propose effective data migration and modernization strategies.
- Identify, mitigate, and communicate risks related to solution and service constraints by making informed technical trade‑offs.
- Act as a trusted advisor to customers on industry trends, emerging data technologies, and innovative solutions.
- Share knowledge within the organization through mentoring, training, and creating reusable artifacts.
- Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field.
- 3+ years of database experience (e.g., SQL, No
SQL, Hadoop, Spark, Kafka, Kinesis). - 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.
- 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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Compensation and BenefitsBase salary range:
- USA, VA, Arlington – – USD annually
- USA, VA, Herndon – – USD annually
Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional 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 .
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).