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Data Solution Architect

1 month ago


San Jose, United States Tik Tok Full time

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. The Data Platform Global Live team is dedicated to empowering the growth of TikTok LIVE business through big data. We support our businesses in achieving their missions by building high quality real-time and offline data warehouses, creating various forms of efficient and data-friendly data assets, and exploring and implementing business oriented data solutions. We provide stable and reliable data capabilities for daily operations, analyses, decision-making of TikTok LIVE features, in addition to robust data support to enhance live performance for streamers. As a data engineer in the Global Live team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users. As a Data Solutions Architect, you will be responsible for: - Understanding business problems and designing and implementing easy-to-use data solutions for the businesses. - Designing and building a state-of-the-art data warehouse and ensuring data SLA(Service Level Agreement) and DQC(Data Quality Control) in global multi-data centers. - Collaborating with business teams from all over the world to drive user growth and revenue growth. Job requirements: - Good experience in data solutions, such as data consulting, product development, and data tools creation. - Strong problem-solving and analytical skills with the ability to translate business needs into technical solutions and data metrics. - Good experience in data warehousing, such as data modeling, database design, and ETL processes. - Experience with Big Data technologies (Hadoop, Spark, Hive, Flink, Kafka, etc.). - Experience with coding (Python, SQL, etc.) - Passionate and self-motivated about using data to drive business decisions.