Hybrid Solutions Engineer

at Cloudera

• Job title: Solutions Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Distributed Systems, Hadoop, Java, Kubernetes, Linux, Spark, SQL
• Location requirements: Hybrid, Shanghai, China

About the role

• Sales Engineer collaborating with partners to ensure technical success and drive adoption of Cloudera’s analytics platform. Engaging throughout the sales cycle and providing technical expertise to partners and customers.

Responsibilities

• Collaborate with the sales team to support partners throughout the sales cycle, ensuring a technical win and a smooth deal closure through in-depth technical engagement.
• Provide robust technical enablement to partners, equipping them with the tools and best practices to effectively represent Cloudera’s Data Platform (CDP) across Hybrid and Multi-cloud environments.
• Act as the primary technical lead within the sales team, presenting Cloudera’s architecture (including Data Hub, Data Warehouse, and Operational DB) to solve customers’ critical business challenges.
• Prepare and deliver high-impact technical demonstrations and lead the technical execution of Proof of Concepts (POCs) for Cloudera's core data services.
• Architect joint solutions that integrate partner AI, ML, and generative AI capabilities with Cloudera’s governed data lakehouse, leveraging Cloudera-recommended patterns to ensure enterprise-grade security, governance, scalability, and performance across hybrid and on-prem deployments.
• Proactively identify and resolve technical hurdles—ranging from data ingestion and governance to infrastructure orchestration—that may impede the adoption of Cloudera’s products.
• Support the technical requirements of existing customers while identifying new use cases to expand the footprint and impact of Cloudera’s technology.
• Gather and align customer and partner requirements with Cloudera’s product management and engineering teams to influence the roadmap for future product versions.

Requirements

• Extensive experience performing customer-facing activities as part of a pre-sales, sales engineering, or professional services team, preferably within a partner-centric model.
• In-depth knowledge of Linux environments, Java, and SQL, including expertise in query optimization and complex data model design.
• A thorough understanding of distributed systems, big data architectures (Hadoop/Spark), and the Cloudera ecosystem (CDP) is essential.
• A solid understanding of Kubernetes (K8s) and containerized environments is required to support CDP Private Cloud and Public Cloud deployments.
• Deep understanding of AI/ML fundamentals, extensive hands-on experience with ML frameworks, and proven expertise across the full ML lifecycle (MLOps), including the delivery of scalable AI solutions on enterprise data platforms.
• Demonstrable ability to create and deliver compelling technical presentations and live product demos to a wide range of audiences, from engineers to C-level executives.
• Excellent communication skills combined with a deep willingness to learn, adapt, and stay ahead of the curve in a rapidly evolving data and AI landscape.

Benefits

• Generous PTO Policy
• Support work life balance with Unplugged Days
• Flexible WFH Policy
• Mental & Physical Wellness programs
• Phone and Internet Reimbursement program
• Access to Continued Career Development
• Comprehensive Benefits and Competitive Packages
• Paid Volunteer Time
• Employee Resource Groups