Senior Data Engineer

<h3>📋 Description</h3> • Architect and maintain data infrastructure that powers Twilio’s sales operations • Design robust data pipeline infrastructure confirming integration between sales platforms and analytics • Collaborate with other engineers, business partners, and data scientists to build best-in-class data infrastructure • Create and maintain data models that power sales analytics, forecasting, and reporting systems • Optimize data flows between Salesforce, Snowflake, AWS Athena, and other enterprise systems • Build robust monitoring and alerting systems for sales data pipelines • Automate manual processes and improve data accuracy • Create documentation and enable self-service capabilities for sales teams <h3>🎯 Requirements</h3> • 5+ years of experience in developing scalable data pipeline infrastructure, preferably for sales organizations • Proven track record of delivering large-scale data projects and working with business partners • Experience with big data processing frameworks such as Apache Spark • Experience with data orchestration tools like Airflow or Dagster • Experience with infrastructure-as-code tools (e.g., Terraform) and modern CI/CD pipelines • Experience with Salesforce data architecture and APIs • Experience with Python, Go, or/and Java • Experience with data modeling (dbt) in a data warehouse (Snowflake) • Experience on building large scale distributed systems in AWS or a similar cloud provider • Experience with LLMs and/or other AI technologies <h3>🏖️ Benefits</h3> • Generous time-off • Ample parental and wellness leave • Healthcare • Retirement savings program • And much more