Principal Engineer - Data & Cloud Systems Architect

Machine Intelligence Technologies, LLC; Atlanta, Northern (GA, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Machine Intelligence Technologies, LLC in Atlanta, GA seeks an Enterprise Architect to lead the design of IP&R solutions and to guide large-scale data platforms. The role requires 10+ years as an architect/Principal and deep experience with RDBMS or Google BigQuery, along with Python, SQL, and cloud/on-prem environments.

Strong collaboration with Infrastructure, Network, Development, and Product teams is essential.

Qualifications

• Degree or equivalent experience in computer science/engineering.
• 10+ years as an architect/Principal.
• 10+ years designing IP&R solutions or similar roles.
• 10+ years experience in large-scale RDBMS or Google BigQuery.
• Proficient in Python, shell scripts, SQL, and PL/SQL scripting.
• Experience with Change & Release, GitHub and CI/CD.
• Experience on-prem and public cloud platforms.
• Security focus and SOX audits experience.
• Process reviews, automation and toil elimination experience.
• HA, high transaction volumes, backup/recovery and DR experience.
• Cross-functional collaboration across Infrastructure, Network, Development, Product and Business.
• Strong technical documentation and business-communication skills.

Skills

Python

Shell scripting

SQL

PL/SQL

RDBMS

Google BigQuery

GitHub

CI/CD

Security

SOX

Automation

Process improvement

Disaster Recovery

High availability

Cross-functional collaboration

Technical documentation

Communication

Time management

Interpersonal skills

Self-motivated

Ambiguity tolerance

Education

Degree in computer science/engineering or equivalent experience

Tools

STRIIM

Kafka

Pub/Sub

GitHub

CI/CD

BigQuery

RDBMS

Job description

Machine Intelligence Technologies, LLC in Atlanta, GA seeks an Enterprise Architect to lead the design of IP&R solutions and to guide large-scale data platforms. The role requires 10+ years as an architect/Principal and deep experience with RDBMS or Google BigQuery, along with Python, SQL, and cloud/on-prem environments.

Strong collaboration with Infrastructure, Network, Development, and Product teams is essential.