Senior Data Engineer/Architect, WWPS ProServe Data and Machine Learning

Amazon • Herndon, VA

1d • Onsite

About The Position

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.

Requirements

• Bachelor's 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

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

• 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: Senior