Senior Cloud Data Architect for Scalable, Secure Platforms

Akamai Technologies, Inc.; Lansing (MI); On-site; USD 169,000 - 305,000; Full time

Job summary

Akamai Technologies, Inc. seeks a Senior Architect to lead cloud data services design, driving high availability, performance, and scalable architectures across a global engineering team.

You will prototype, evaluate technologies, and guide production-ready designs while collaborating with product and SRE partners. Strong focus on PostgreSQL, Oracle, MongoDB, Redis, and NoSQL ecosystems.

Qualifications

• 12+ years of relevant experience in data/cloud architecture.
• Proficiency with Terraform for infrastructure as code.
• Scripting in Python, Go, or Bash for automation.
• Deep knowledge of relational and NoSQL databases: PostgreSQL, Oracle, MongoDB.
• Hands-on experience with Redis and Valkey in-memory KV stores.
• Understanding of distributed data systems designed for horizontal scalability and high availability.

Responsibilities

• Design scalable, secure, resilient, and highly available cloud and data architectures.
• Evaluate cloud technologies and determine suitability for new platform capabilities and services.
• Serve as SME for database architectures including PostgreSQL, Oracle, and MongoDB.
• Design highly available, replicated, clustered, and geographically distributed database architectures.
• Build prototypes, proofs of concepts, and reference implementations to validate scalability and security.
• Convert prototypes into repeatable architecture patterns and production-ready designs.

Skills

Cloud architecture

Distributed systems

Leadership

SRE collaboration

Education

Bachelor's degree in Computer Science, Engineering, MIS, or related field

Tools

Terraform

Python

Go

Bash

PostgreSQL

Oracle

MongoDB

Redis

Valkey

Job description

Akamai Technologies, Inc. seeks a Senior Architect to lead cloud data services design, driving high availability, performance, and scalable architectures across a global engineering team.

You will prototype, evaluate technologies, and guide production-ready designs while collaborating with product and SRE partners. Strong focus on PostgreSQL, Oracle, MongoDB, Redis, and NoSQL ecosystems.