19 hours ago
Base Salary
$171k - $252k/yr
Responsibilities
- Architect and implement scalable data systems, storage solutions, and processing frameworks.
- Serve as a subject matter expert in distributed systems, data technologies, and software engineering.
- Drive technical innovation and research into emerging data technologies and best practices.
- Mentor and coach engineers while fostering technical excellence and continuous learning.
- Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
- Ensure data quality, integrity, and security throughout the data lifecycle in accordance with industry best practices and compliance standards.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or a related field.
- At least 8 years of experience in software development or a related field.
- Proven experience architecting and delivering complex data projects at scale, with deep knowledge of data infrastructure and distributed systems.
- Expertise with big data technologies such as Hadoop, Spark, Kafka, and other distributed computing systems.
- Experience designing, building, and operating large-scale systems using AWS technologies.
- Proficiency in Python, Java, or Scala.
- Hands-on experience with Data Lakehouse architectures and Hudi, Iceberg, or Delta data formats.
- Strong communication, collaboration, leadership, mentoring, problem-solving, and delivery skills.
- Contributions to open-source software projects are a bonus.
- Familiarity with data modeling, data warehousing, and ETL processes is a plus.
Benefits
- Remote role based in the United States, with hiring restrictions in California, Washington, New York, New Jersey, Pennsylvania, and Connecticut as stated in the posting.
- Occasional travel may be required for project or team in-person meetings.
- Eligible roles generally include health care insurance, a 401(k) retirement account, paid sick time, paid personal time off, and paid parental leave.
- The role may be eligible for Twilio’s equity plan and corporate bonus plan.
Tech Stack
Categories
Data Engineering
