7 часов назад
Tech Lead Manager Data Platform (USDS)
208 800 - 438 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Tech Lead Manager Data Platform (USDS) (Big Data/Data Platform): Leading data engineers while designing and scaling batch and real-time data platforms and services for TikTok's U.S. data processing ecosystem with an accent on distributed systems, data architecture, reliability, and compliance. Focus on building trusted datasets, optimizing large-scale processing for performance and cost efficiency, and driving end-to-end delivery across technical and cross-functional teams.
Location: San Jose, United States; fully in-person schedule up to 5 days a week
Salary: $208,800–$438,000 annually, plus potential discretionary bonuses, incentives, and restricted stock units.
Company
USDS safeguards U.S. user data, applications, algorithms, and the content ecosystem through data privacy, cybersecurity, trust, and safety programs.
What you will do
- Lead and manage a team of data engineers, promoting technical excellence, ownership, and continuous improvement.
- Design, build, maintain, and scale big data platforms, pipelines, and services for batch and real-time processing across TikTok, TikTok Shop, and TikTok LIVE.
- Define architecture standards for data modeling, pipeline design, data quality, governance, privacy, and security.
- Own end-to-end delivery of data solutions from design and development through testing, deployment, and optimization.
- Partner with Product, Analytics, Data Science, and Engineering teams to translate business requirements into scalable solutions.
- Establish planning, prioritization, delivery governance, performance measurement, and executive-level technical communication across multiple initiatives.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
- 5+ years of experience building and scaling enterprise-grade data platforms in large-scale distributed systems.
- 3+ years of experience in engineering leadership or engineering management overseeing technical teams in cross-functional environments.
- Hands-on experience with big data processing and distributed storage engines such as Hadoop, Spark, Flink, Druid, or ClickHouse.
- Strong understanding of data lakes, data warehouses, and lakehouse architectures, with strong SQL and Python or equivalent-language skills.
- Excellent communication, interpersonal, stakeholder management, and cross-functional collaboration skills.
Nice to have
- Experience optimizing large-scale data systems for performance and efficiency.
- Ability to influence data strategy and drive alignment across cross-functional teams.
Culture & Benefits
- Medical, dental, and vision insurance from day one.
- 401(k) savings plan with company match, paid parental leave, disability coverage, life insurance, and wellbeing benefits.
- 10 paid holidays, 10 paid sick days, and 17 days of paid personal time, with accrual increasing by tenure.
- Work in an environment emphasizing curiosity, humility, resilience, continuous learning, and an “Always Day 1” mindset.
- Reasonable accommodations are available during recruitment for eligible candidates.
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