Data Enablement Lead

原始資料於 2026-11-01 查閱；內容可能已更新，請查看原始職位。

What you'll need:
Technical Skills
Data Engineering & Warehousing: 5+ years of experience in data engineering, analytics engineering, or technical data product management.
Stack Expertise: Strong proficiency in SQL and Python. Solid experience with large-scale data warehouses (Apache Hive) and modern OLAP engines (Apache Doris, ClickHouse, StarRocks, or similar).
Data Product & AI Innovation: Demonstrated interest or experience in building interactive data tools (e.g., Cube.js, semantic layers) or leveraging AI/LLM frameworks (e.g., LangChain, OpenAI APIs, Text-to-SQL pipelines) to simplify data retrieval.
Data Modeling: Deep understanding of dimensional modeling, star schemas, data aggregation, and query optimization techniques.
Project & Stakeholder Management
Proven ability to coordinate across cross-functional engineering teams with competing business priorities.
Strong project management skills—able to track dependencies, mitigate risks, and manage stakeholder expectations clearly without micro-managing.
Pragmatic approach to the "Build vs. Coordinate" tradeoff—knowing when to rely on central platforms versus when to build lightweight local solutions.
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