Staff Software Engineer (L4) Data Platform

Details

• Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills
• Architect and implement scalable and efficient data systems, storage solutions, and processing frameworks using state-of-the-art technologies.
• Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
• Mentor and coach a team of talented engineers, fostering a culture of technical excellence, collaboration, and continuous learning.
• Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.
• Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in software development, or a related field.
• Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.
• Expertise in 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 programming languages such as Python, Java, or Scala, with strong problem-solving skills and attention to detail.
• Experience designing or working with Data Lakehouse architectures, including hands-on experience with Hudi, Iceberg, or Delta data formats.
• Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.
• Strong leadership skills, with a track record of mentoring and developing junior engineers.
• Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.
• Contributions to OSS projects is a bonus
• Familiarity with data modeling, data warehousing, and ETL processes is a plus.
• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $171,120.00 to $213,900.00
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $181,200.00 to $226,500.00
• Based in the San Francisco Bay area, California: $201,280.00 to $251,600.00.
• This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
• $171,120.00 to $213,900.00