Staff Data Systems Engineer - Remote Lead Architect

Twilio; San Francisco (CA); On-site; USD 171,000 - 214,000; Full time

Benefits offered by this job

Health care insurance

401(k) retirement plan

Paid sick time

Paid personal time off

Paid parental leave

Job summary

Twilio is hiring a Staff Software Engineer for the Data Substrate team to architect scalable data solutions and mentor engineers. You will lead the design of data storage, processing frameworks, and ensure security across the data lifecycle.

The role emphasizes hands-on leadership, collaboration with cross-functional partners, and delivering high-impact data projects at scale in a remote-friendly environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of software development experience, with a focus on data infrastructure.
• Proven track record of architecting and delivering complex, large-scale data projects.

Responsibilities

• Serve as a subject matter expert in distributed systems and data technologies.
• Architect and implement scalable data systems, storage, and processing frameworks.
• Drive technical innovation and research to stay at the forefront of data tech.
• Mentor and coach a team of engineers, fostering technical excellence and learning.
• Collaborate with cross-functional teams to translate business needs into scalable solutions.
• Ensure data quality, integrity, and security across the data lifecycle.

Skills

Leadership

Mentoring

Communication

Distributed systems

Education

Bachelor's or Master's in CS/Engineering

Tools

Kafka

ClickHouse

Spark

Kubernetes

Terraform/Helm

AWS

Python

Java

Go

Job description

Twilio is hiring a Staff Software Engineer for the Data Substrate team to architect scalable data solutions and mentor engineers. You will lead the design of data storage, processing frameworks, and ensure security across the data lifecycle.

The role emphasizes hands-on leadership, collaboration with cross-functional partners, and delivering high-impact data projects at scale in a remote-friendly environment.