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Staff Software Engineer (L4) Data Platform

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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:
  • Serve as a subject matter expert in distributed systems and 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
Required Qualifications:
  • 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 Qualifications:
  • Contributions to OSS projects is a bonus
  • Familiarity with data modeling, data warehousing, and ETL processes is a plus
  • LocationThis role is remote and based in the United States. Remote employment is not permitted in CA, WA, NY, NJ, PA, or CT.TravelTravel may be required occasionally to participate in project or team in-person meetings.
Pay Range$171,120.00 to $213,900.00 Equal Opportunity Statement Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.