高级现场专家 - 数据工程与流处理（售前）
Senior Field Specialist - Data Engineering & Streaming (Pre-Sales)
业务领域：
销售工程
职级：
中高级
职位描述：
在 Cloudera，我们赋能人们将复杂的数据转化为清晰且可操作的洞察。在管理的数据量与超大规模云服务商相当的情况下，我们是几乎所有行业中顶级公司的首选数据合作伙伴。依托开源社区的持续创新，Cloudera 推动全球最大企业的数字化转型。
数据工程与流处理专家（售前/客户面向）
你是否热衷于让企业客户更容易使用数据和 AI 用例？
Cloudera 正在寻找一名售前客户面向、动手能力强的数据工程与流处理专家加入我们的美国团队。在这个关键角色中，你将利用深厚的技术专长，赋能我们的客户，影响产品方向，并推动我们在最重要的数据工程、实时流处理和 AI 准备用例中的成功。如果你喜欢创造性的自由，并希望塑造云原生数据架构和大规模 AI 的未来，我们鼓励你申请。
作为数据工程与流处理专家，你的职责包括
- 通过设计和展示可扩展的云原生数据工程架构和业务成果，主导客户参与，面向技术及高管利益相关者。
- 在销售周期中提供深入的行业专业知识，支持 PoC（概念验证）、解决方案规模评估和新旧客户的采用，重点关注数据准备、CDC（变更数据捕获）、流处理用例和 AI 准备。
- 解决数据管道中的复杂技术问题，提供指导并领导升级以确保客户成功。
- 通过探索新的云原生流处理和批处理技术，开发教育材料并分享最佳实践，推动内部和外部的技术赋能。
- 通过将客户反馈和 EMEA 特定需求转化为对产品和工程团队有行动力的见解，影响产品路线图。
- 担任 Cloudera 的布道者，参与社区活动，参加活动发言，并为现代 AI 准备的数据工程知识共享做出贡献。
- 与跨职能团队（销售、产品、工程）有效协作，确保客户成功和产品愿景一致。
我们期待你具备：
- 在金融等行业中，有领导和实施关键任务数据用例的丰富经验
查看英文原文
Business Area:
Sales EngineeringSeniority Level:
Mid-Senior levelJob Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.
Data Engineering & Streaming Specialist (Pre-sales /Customer facing)
Are you passionate about making data and AI use cases accessible for enterprise clients?
Cloudera is seeking a pre-sales customer-facing, hands-on Data Engineering & Streaming Specialist to join our team in the US. In this pivotal role, you'll leverage your deep technical expertise to empower our customers, influence product direction, and drive success across our most impactful data engineering, real-time streaming, and AI readiness use cases. If you thrive on creative freedom and shaping the future of cloud-native data architectures and AI at scale, we encourage you to apply.
As a Data Engineering & Streaming Specialist, You Will (Responsibilities)
- Lead customer engagements by designing and presenting scalable, cloud-native data engineering architectures and business outcomes to technical and executive stakeholders.
- Provide deep domain expertise throughout the sales cycle, supporting PoCs, solution sizing, and adoption for new and existing customers focusing on data prep, CDC, streaming use cases, and AI readiness.
- Troubleshoot and resolve complex technical issues in data pipelines, providing guidance and leading escalations to ensure customer success.
- Drive internal and external technical enablement by exploring new cloud-native streaming and batch technologies, developing educational materials, and sharing best practices.
- Influence product roadmap by translating customer feedback and EMEA-specific requirements into actionable insights for our product and engineering teams.
- Act as a Cloudera evangelist, participating in community activities, speaking at events, and contributing to knowledge sharing around modern, AI-ready data engineering.
- Collaborate effectively with cross-functional teams (Sales, Product, Engineering) to align on customer success and product vision.
We’re excited about you if you have:
- Proven experience leading and implementing mission-critical data use cases in industries such as Financial Services, Retail, Healthcare, Public Sector, etc.
- Proven experience in designing, building, and deploying enterprise-grade data engineering pipelines and real-time streaming solutions on modern, cloud-native data architectures.
- Hands-on expertise with leading data processing and streaming technologies, specifically Apache Spark, Airflow, Apache NiFi, Apache Flink, and Apache Kafka.
- Strong background in architecting production data deployments across hybrid and multi-cloud environments, with specific expertise in data preparation, Change Data Capture (CDC), and data ingestion at massive scale.
- Demonstrated ability to run Proofs of Concept (PoCs) and MVPs that lead to successful, enterprise-grade production deployments, ensuring data pipelines are optimized for AI readiness.
- Practical experience in designing and implementing data-intensive use cases, including navigating the associated security, data quality, and governance challenges required to build an AI-ready data foundation.
- Exceptional presentation skills, comfortable engaging with diverse audiences from data engineers to senior executives.
- Ability to analyse customer data workloads and define technical migration or modernization roadmaps tailored to their specific needs.
You'll Be Well-Positioned for Success If You Bring (Bonus Qualifications):
- Prior experience in pre-sales or technical consulting roles with a strong focus on big data & AI platform solutions.
- Direct experience with legacy or competing streaming/data engineering platforms (e.g., Confluent, Databricks, AWS EMR/Glue) and advising customers/partners on migration strategies to cloud-native alternatives.
- Experience with DataOps, including CI/CD for data pipelines and automated data quality frameworks essential for trusted AI.
- Experience with, and interest in, open-source software and development practices.
- Familiarity with Cloudera's Data Engineering (CDE) and DataFlow (CDF) components, as well as Shared Data Experience (SDX).
- Relevant technical certifications (e.g., Databricks Certified Data Engineer, Confluent Certified Developer, AWS Certified Data Analytics).
- Working knowledge of the broader open-source data and AI ecosystem, particularly open table formats that drive cloud-native architectures (e.g., Apache Iceberg) and container orchestration (Kubernetes).
- Deep understanding of the data engineering prerequisites required for machine learning, deep learning, and generative AI applications.
This role is not eligible for immigration sponsorship.
The anticipated annual base salary range for this position is:
California: $166,000 - $230,000
Colorado: $146,000- $180,000
Illinois: $154,000- $190,000
Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package.
What you can expect from us:
- 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
EEO/VEVRAA
Originally posted on Himalayas