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Amazon · 1 month ago

Delivery Consultant - Data Engineer, Data and Machine Learning, WWPS US Federal

Herndon, Virginia, USA

Full-time

Onsite

Mid Level

$118K/yr - $204K/yr

3+ years exp

Amazon Web Services is seeking a skilled Delivery Consultant to join their Professional Services team. This role involves designing, implementing, and managing AWS solutions to drive customer success, providing technical expertise, and collaborating closely with stakeholders.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs

Providing technical guidance and troubleshooting support throughout project delivery

Collaborating with stakeholders to gather requirements and propose effective migration strategies

Acting as a trusted advisor to customers on industry trends and emerging technologies

Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Qualification

AWS solutions architectureData engineeringETL/ELT toolsCloud architectureSQLAutomationScriptingData warehouse architectureSecurity compliance knowledgeTechnical guidanceMentoringCollaboration

Required

Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent

3+ years of cloud architecture and solution implementation experience

3+ years of experience with data warehouse architecture, ETL/ELT tools, data engineering, and large-scale data manipulation using technologies like Spark, EMR, Hive, Kafka, and Redshift

Experience with relational databases, SQL, and performance tuning, as well as software engineering best practices for the development lifecycle, including coding standards, reviews, source control, and testing

Current, active US Government Security Clearance of TS/SCI with Polygraph

Preferred

AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred

Experience with automation and scripting (e.g., Terraform, Python)

Knowledge of security and compliance standards (e.g., HIPAA, GDPR)

Experience leading large-scale data engineering and analytics projects using AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda

Experience with non-relational databases and implementing data governance solutions