Public Sector Cloud Data Architect & Delivery Lead

Amazon; Chicago (IL); On-site; USD 153,600 - 207,800; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon is looking for a Delivery Consultant specializing in Data Engineering & Architecture with a focus on delivering technical design and solutions for cloud data applications. This role involves working closely with public sector clients to enhance their data-driven decision-making capabilities.

The ideal candidate has extensive experience in database systems, cloud solutions, and project management. Key responsibilities include designing scalable data architectures, collaborating with stakeholders, and acting as a trusted advisor on emerging data technologies.

Qualifications

• 7+ years of technical specialist, design and architecture experience.
• 5+ years of database (SQL, NoSQL, Hadoop, etc.) experience.
• 3+ years of cloud-based solution experience (AWS or equivalent).

Responsibilities

• Clarify customer business outcomes and translate them into data architecture solutions.
• Design and build secure, scalable, and performant data applications.
• Collaborate with stakeholders to assess current infrastructure.

Skills

Technical specialist experience

Database experience (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)

Cloud-based solutions (AWS or equivalent)

Project management experience

Software engineering best practices

Education

Bachelor's degree or 7+ years of professional experience

Tools

SQL

Python

CI/CD automation tools (CDK or Terraform)

Job description

Amazon is looking for a Delivery Consultant specializing in Data Engineering & Architecture with a focus on delivering technical design and solutions for cloud data applications. This role involves working closely with public sector clients to enhance their data-driven decision-making capabilities.

The ideal candidate has extensive experience in database systems, cloud solutions, and project management. Key responsibilities include designing scalable data architectures, collaborating with stakeholders, and acting as a trusted advisor on emerging data technologies.