Delivery Consultant - Data Engineer, Data and Machine Learning, WWPS US Federal jobs in United States
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Amazon Web Services (AWS) ยท 2 weeks ago

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

Amazon Web Services (AWS) is seeking a skilled Delivery Consultant to join their Professional Services team. In this role, you'll work closely with customers to design, implement, and manage AWS solutions, driving customer success through their cloud journey and providing technical expertise throughout the project lifecycle.

Agentic AIConsultingDevOpsInformation TechnologySoftwareWeb Development
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

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 architectureAWS certificationsAutomationScriptingData warehouse architectureSecurity compliance knowledgeRelational databasesSQLPerformance tuningSoftware engineering best practicesNon-relational databasesData governance solutions

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

Benefits

Equity
Sign-on payments
Full range of medical, financial, and/or other benefits

Company

Amazon Web Services (AWS)

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Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.

Funding

Current Stage
Late Stage
Total Funding
unknown
Key Investors
BIRD Foundation
2025-01-22Grant

Leadership Team

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Matt Garman
Chief Executive Officer
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Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
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