Tech Lead, Cloud Data Engine

$177,688 - $266,000/Yr

Tiktok - Seattle, WA

posted 3 months ago

Full-time - Mid Level
Seattle, WA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy to over 1 billion users globally. The Data Platform-Data Architecture team is focused on building the next generation of database management systems (DBMS) kernels, aiming for best-in-class query latency and hardware utilization. This team operates the distributed OLAP infrastructure that powers TikTok's cloud-native data warehouse, which is essential for data-driven decision-making within the company. As a tech lead in the data architecture team, you will have the opportunity to build, optimize, and grow one of the largest data platforms in the world. Your work will directly impact the company's core products and the experience of hundreds of millions of users. In this role, you will design and implement reliable, scalable, robust, and extensible big data systems that support core products and business operations. You will be responsible for building a world-leading cloud-native OLAP engine capable of handling petabyte-level data sets. Additionally, you will optimize and contribute to open-source data frameworks such as Spark SQL, Presto, Clickhouse, Doris, Alluxio, and Velox. Your responsibilities will also include architecting internal data warehouses and data lakes to support all business units, as well as creating innovative solutions to address system scalability, reliability, and availability challenges. This position offers a unique opportunity to gain hands-on experience with various systems in the data platform ecosystem, making a significant impact on TikTok's operations and user experience.

Responsibilities

  • Design and implement reliable, scalable, robust and extensible big data systems that support core products and business.
  • Build the world-leading cloud native OLAP engine for PB level data sets.
  • Optimize and contribute to open source data frameworks, including Spark SQL, Presto, Clickhouse, Doris, Alluxio, and Velox.
  • Architect internal data warehouses and data lakes to support all business units.
  • Create innovative solutions to address system scalability, reliability, and availability problems.

Requirements

  • BS or MS degree in Computer Science or related technical field or equivalent practical experience.
  • Familiarity with commonly used algorithms, data structures, network programming, and multi-threaded programming.
  • Experience with OLAP/OLTP database kernel optimization including storage, operator, optimizer, and code generation.
  • Experience with native programming languages like C++ and Rust in production.

Benefits

  • 100% premium coverage for employee medical insurance
  • Approximately 75% premium coverage for dependents
  • Health Savings Account (HSA) with company match
  • Dental insurance
  • Vision insurance
  • Short/Long term Disability insurance
  • Basic Life insurance
  • Voluntary Life and AD&D insurance plans
  • Flexible Spending Account (FSA) options for healthcare and dependent care
  • 10 paid holidays per year
  • 17 days of Paid Personal Time Off (PPTO)
  • 10 paid sick days per year
  • 12 weeks of paid Parental leave
  • 8 weeks of paid Supplemental Disability
  • Mental and emotional health benefits through EAP and Lyra
  • 401K company match
  • Gym reimbursement
  • Cellphone service reimbursement
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