Data Engineering & Architecture Delivery Consultant

Amazon Web Services (AWS); Dallas (TX); On-site; USD 131,000 - 178,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

RSUs

Job summary

Amazon Web Services, Inc. is seeking a Delivery Consultant specializing in Data Engineering & Architecture to design, build, and optimize data architectures for government and public sector customers.

You will work on data lakes, data warehouses, and scalable cloud platforms, delivering mission-critical data and ML solutions. You will collaborate with a world-class team, mentor others, and drive thought leadership in enterprise data architecture while operating from a listed U.S.

Qualifications

• 3+ years of cloud architecture and solution implementation experience.
• Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3).
• Experience implementing AWS services in distributed computing environments.
• Experience with SQL, Python, schema definition, and secure, testable, and maintainable code.

Responsibilities

• Clarify customer outcomes and translate into data architecture and engineering solutions.
• Design and build secure, scalable, and cost-effective data analytics applications.
• Collaborate with stakeholders to gather requirements and propose data migration and modernization strategies.
• Identify risks and make informed technical trade-offs.
• Act as trusted advisor on data technologies and industry trends.

Skills

Cloud architecture

Data engineering

SQL

Python

Data modeling

Education

Bachelor's or higher in a technology field or AWS certification

Tools

AWS services (EC2, ELB, RDS, Route53, S3)

Job description

Amazon Web Services, Inc. is seeking a Delivery Consultant specializing in Data Engineering & Architecture to design, build, and optimize data architectures for government and public sector customers.

You will work on data lakes, data warehouses, and scalable cloud platforms, delivering mission-critical data and ML solutions. You will collaborate with a world-class team, mentor others, and drive thought leadership in enterprise data architecture while operating from a listed U.S.