Associate Delivery Consultant
Amazon Web Services (AWS)
Dallas, TX0–2 yrs2h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 2 years · Bachelor's degree
- Must know
- TroubleshootingStakeholder managementPythonJavaC++C
- Nice to have
- AWS
- Work
- On-site in Dallas
- Pay
- Not stated by the employer.
- Skill demand
- Stakeholder management63%Troubleshooting19%Python9%Java5%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 30, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Key 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
Requirements & Tech Stack
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience solving problems with technology in the Healthcare/Life Sciences Industry
- Experience in cloud architecture and implementation
- AWS experience preferred
- Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Experience in Data platform implementation
- Hands-on experience with building data or machine learning pipelines
- Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)
- Hands-on experience working on large-scale data science/data analytics projects
- Experience implementing AWS services in a variety of distributed computing, enterprise environments
Qualifications
- Experience communicating technical concepts to a non-technical audience