Staff Software Engineer (L4) Data Platform

Role details

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. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio's next Staff Software Engineer on our Data & Analytics Platform Who we are & why we’re hiring 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. About the job We are seeking an experienced Staff Engineer to join our Data Substrate team. In this role, you will be responsible for architecting scalable and reliable data solutions, collaborating closely with cross-functional partners driving technical innovation, and mentoring a team of talented engineers. The ideal candidate will have deep expertise in data systems, strong leadership skills, and a proven track record of delivering complex data projects at scale. Responsibilities In this role, you’ll: 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. Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 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. Desired Contributions to OSS projects is a bonus Familiarity with data modeling, data warehousing, and ETL processes is a plus. Location This role will be remote, and based in the United States. This role will be remote but is not eligible to be hired in CA, WA, NY, NJ, PA or CT. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: 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