Drive the technical win for complex workloads within data analytics to ensure rapid and successful adoption, primarily supporting the business cycle from use-case identification and technical evaluation through customer ramp.
Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
Provide technical consultation to customers, acting as a technical advisor and building lasting customer relationships.
Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
Provide critical feedback from customer engagements to product and engineering teams to improve architectures and solutions. Work within product and engineering management systems to document, prioritize, and drive resolution of customer feature requests and issues.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
6 years of experience with cloud native architecture in a customer-facing or support role.
Experience with Big Data technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, and batch versus streaming).
Experience using programming languages to design demos, prototypes, or workshops for customers.
Experience presenting to technical stakeholders or executive leaders.
Ability to communicate in Mandarin and English fluently to support client relationship management.
Preferred qualifications
Experience with developing data warehousing, data lakes, batch/real-time event processing, data migrations and data governance on cloud native architectures.
Experience with architecture design, implementing, and query optimization of scalable and distributed systems.
Experience with open source technology, such as Hadoop/Spark/Flink/Trino/Iceberg.
Experience with cloud computing (e.g., infrastructure, storage, platforms) and the cloud market, engaged dynamics, and customer buying behavior.
Experience developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK).
Experience understanding customer requirements with the ability to break down requirements and design technical architectures.
Bachelor's degree or equivalent practical experience.
6 years of experience with cloud native architecture in a customer-facing or support role.
Experience with Big Data technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, and batch versus streaming).
Experience using programming languages to design demos, prototypes, or workshops for customers.
Experience presenting to technical stakeholders or executive leaders.
Ability to communicate in Mandarin and English fluently to support client relationship management.
