Software Engineer L3 Data Substrate

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote‑first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day.

Join the team as Twilio 's next Software Engineer on our Data & Analytics Platform.

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.

Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business.

We are looking for a talented and experienced Software Engineer to join our Data Platform team. In this role, you will play a crucial part in designing, building, and optimizing our platform to support a wide range of data‑driven initiatives. You will work closely with cross‑functional teams to understand business requirements, architect scalable solutions, and implement data solutions and infrastructure for our Data Platform.

The ideal candidate will have a passion for leveraging data to drive business impact, strong technical skills, and experience with modern data technologies.

• Design, build, and maintain infrastructure and scalable frameworks to support data ingestion, processing, and analysis.
• Collaborate with stakeholders, analysts, and product teams to understand business requirements and translate them into technical solutions.
• Architect and implement data solutions using modern data technologies such as Kafka, Spark, Hive, Hudi, Presto, Airflow, and cloud‑based services like AWS Lake Formation, Glue, and Athena.
• Design and implement frameworks and solutions for performance, reliability, and cost‑efficiency.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Stay current with emerging technologies and best practices in big data technologies.