Staff Data Engineer, Twilio

• 5+ years of experience in developing ML platforms and/or data engineering
• Proven track record of delivering large-scale data projects and working with business partners
• Experience with big data processing frameworks such as Spark, Flink, or Ray
• Experience with data orchestration tools like Airflow or Dagster
• Experience with data warehousing platforms such as Snowflake or BigQuery
• Experience with Kubernetes and/or other container orchestration systems
• Experience with infrastructure-as-code tools (e.g., Terraform) and modern CI/CD pipelines
• For this role, you may be required to travel occasionally to participate in project or team in-person meetings

Desirable

• Join the team as Twilio’s next Staff Data Engineer on Twilio's Go-to-Market (GTM) Data Engineering team
• This position is needed to support the GTM Data Engineering team at Twilio
• The GTM Data Engineering team supports stakeholders ranging from Sales Systems to Marketing
• Our team provides a robust data foundation that allows business partners to build out sophisticated automations that power their verticals
• We are looking for a Staff Data Engineer with strong data engineering and software development skills to help us scale out our ML + AI infrastructure and better support these stakeholders
• You will partner with business stakeholders across the organization to identify pain points, gather requirements, and extract value out of our data
• You will work with data scientists to design and build performant infrastructure to manage and leverage large-scale datasets for our machine learning workloads
• You will also help optimize the design of our data warehouse as well as help teams build data-driven processes and automation on top of it
• Collaborate with other engineers, business partners, and data scientists to build best-in-class data infrastructure that meets evolving needs
• Design and optimize infrastructure for managing ML workflows at scale
• Design high-performance systems to ensure fast and efficient AI agent serving
• Design and manage reverse ETL pipelines to power sales operations and marketing automation
• Improve internal tooling and developer experience for our data scientists
• Develop and maintain our data warehouse (Snowflake) to enable efficient and accurate usage of data
• Document data pipelines, data models, and data transformation processes
• Participate in our team’s on call rotation to ensure the availability of our broader data engineering services

• Applications for this role will be accepted on an ongoing basis