Senior Field Specialist - Data Engineering & Streaming (Pre-Sales)

Cloudera; California (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

Cloudera is seeking a Data Engineering & Streaming Specialist to enable customers with cloud-native data architectures and real-time streaming solutions. You will lead engagements, design scalable pipelines, and guide PoCs and MVPs across hybrid cloud environments.

In this role, you will collaborate with Sales, Product, and Engineering to align customer outcomes with product direction and AI readiness. Strong hands-on experience with Spark, Kafka, and Flink is required.

Qualifications

• Experience leading data use cases in multiple industries.
• Enterprise-grade data pipelines and real-time streaming designs.
• Hands-on with Spark, Airflow, NiFi, Flink, Kafka.
• Experience across hybrid/multi-cloud deployments.
• Ability to run PoCs/MVPs leading to production deployments.

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.

Skills

Data engineering

Real-time streaming

Cloud-native architecture

PoCs

MVPs

Data pipelines

Stakeholder communication

Cross-functional teamwork

Tools

Apache Spark

Airflow

Apache NiFi

Apache Flink

Apache Kafka

Job 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.