Tech Lead Software Engineer, Data Streaming

$184,300 - $337,250/Yr

Tiktok - San Jose, CA

Full-time - Mid Level

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. As a Senior Software Engineer in Data Streaming, you will be part of our ads data platform team, which collaborates closely with product managers and data analysts to build state-of-the-art streaming and batch data processing solutions. This role is crucial as it supports both the TikTok ads platform and our internal business intelligence platform. You will have the opportunity to work with Petabyte-level data warehouses and tackle some of the most challenging technical and business problems in the industry. Your contributions will have a direct impact on the company's business success, and you will be involved in the development and optimization of TikTok's commercial real-time data warehouse. Additionally, you will be responsible for streaming data modeling, architecture design, and the development of real-time metric calculations. At TikTok, we believe that every challenge is an opportunity to learn, innovate, and grow as a team. We are committed to creating an inclusive environment where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and we aim to reflect the diverse communities we serve. We are passionate about inspiring creativity and bringing joy, and we hope you share this vision.

Responsibilities

• Responsible for the development and optimization of TikTok's commercial real-time data warehouse.
• Responsible for streaming data modeling, architecture design and development of real-time metric calculation.

Requirements

• Have a deep understanding of computer principles, a good data structure and algorithm foundation, and theoretical knowledge of data warehouses.
• Familiar with the principles of streaming computing, with system characteristics and technical solutions for large-scale streaming data.
• Familiar with the development and use of real-time computing engines such as Kafka/Flink/Hive/HBase/Clickhouse/ES.
• Good at communication, sensitive to business, able to quickly understand business background, and have excellent ability to integrate technology and business.

Nice-to-haves

• Experience in large-scale streaming data computing and data warehouses is preferred.
• Experience with Go language development is preferred.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
• Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.