Senior Data EngineerArchitect, WWPS ProServe Data and Machine 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 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.

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 theres nothing we cant achieve in the cloud.

Inclusive Team Culture
Here at AWS its 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelors degree in computer science engineering mathematics or equivalent
- 5 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

- 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 for more information. If the country/region youre applying in isnt 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 VA Arlington - 153600.00 - 207800.00 USD annually
USA VA Herndon - 153600.00 - 207800.00 USD annually