Tiktok - Seattle, WA
posted about 2 months ago
TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. As a Senior Data Engineer in the Data Applications team, you will play a crucial role in building and managing the petabyte-scale data infrastructure that supports TikTok's global Ads business. This position is designed for passionate Data Engineers who possess strong problem-solving skills and are eager to collaborate with cross-functional partners, including business operations, data science, engineering, and product management. Your contributions will directly impact the company's core business across innovative advertising products, campaign management, and measurement solutions, enhancing customer satisfaction and driving company growth. In this role, you will work closely with Product Managers, Data Scientists, Analysts, and Software/Machine Learning Engineers to understand data requirements and deliver effective data solutions that meet business needs. You will evaluate, implement, and maintain data infrastructure tools and technologies to support efficient data processing, storage, and querying. Your responsibilities will include designing, building, and optimizing scalable data pipelines to ingest, process, and transform large volumes of data, as well as implementing robust data models and visualizations to support complex analytical queries and reporting requirements. Ensuring data integrity, accuracy, and consistency will be paramount, and you will implement data quality checks, validation processes, and monitoring mechanisms. Continuous optimization of data pipelines, queries, and processes will be essential to improve performance, reduce latency, and enhance scalability. You will also provide rapid response to SLA on-call support for business-critical data pipelines and create and maintain documentation for data assets while promoting best practices for data governance within the data user community. Additionally, you will coordinate project management and define the business domain data development roadmap, influence product and cross-functional teams to identify data opportunities, and mentor junior team members by providing actionable feedback to improve their performance.