Data Engineer/Architect, WWPS ProServe Data and Machine Learning

Amazon • Herndon, VA

1d • $131,300 - $177,600 • Onsite

About The Position

This position is for a Data Engineering and Architecture specialist with experience designing and building Data Lakes, Data Warehouses, and scalable data platforms in the cloud. The role involves helping Public Sector customers deploy mission-critical data and ML solutions at scale. As a Delivery Consultant specializing in Data Engineering & Architecture, the individual will provide technical design and thought leadership for cloud data applications, working with a team serving federal, state, local government, and national security customers. Responsibilities include designing, building, and optimizing data architectures and platforms to enable data-driven decision making. The role offers opportunities to learn from, collaborate with, and educate technical minds in enterprise data architecture. The AWS Professional Services organization is a global team assisting customers in achieving business outcomes with the AWS Cloud, working with customer teams and the AWS Partner Network (APN) to execute cloud computing initiatives. This is a customer-facing role, requiring work from listed locations or customer sites Monday through Friday each week, with potential travel to client locations. It is not a remote position. The candidate must be a US Citizen and possess an active Top Secret security clearance. Amazon values diverse experiences and encourages applications from candidates who may not meet all preferred qualifications. AWS is a comprehensive cloud platform, and the company emphasizes work-life harmony, an inclusive team culture, and continuous mentorship and career growth.

Requirements

• 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

Nice To Haves

• 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)

Responsibilities

• 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

Benefits

• sign-on payments
• restricted stock units (RSUs)
• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level