Senior Data Engineer, Data Lakehouse Infrastructure
TRM LabsFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need 8+ years in technical support, customer success, or similar customer-facing technical roles, experience with enterprise customers as a trusted technical advisor, high Japanese communication skills for technical, non-technical, and executive levels, basic English speaking, and mid-level English reading/writing. Technical requirements include experience with data warehousing, database migration, ETL, RDBMS basics (SQL, data types, execution plans), and knowledge of major clouds like AWS, Azure, or GCP.
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Snowflake emphasizes impact, innovation, and collaboration, with a focus on building big, moving fast, and advancing technology and careers. The Support team aims to provide world-class support for customer trust and business continuity, and DSEs play a central role in deep technical problem-solving and building strong trust relationships.
Strong candidates have 8+ years of enterprise technical support experience, deep knowledge in data warehousing, cloud platforms, and RDBMS, excellent Japanese communication skills across all levels, and the ability to act as a trusted technical partner. Welcome skills like CI/CD experience, scripting in .NET/JavaScript/Go, advanced SQL, and data integration tools further strengthen applications.
Data management and analytics platform
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.