Data Engineering & Streaming Specialist

Cloudera; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Generous PTO

Flexible WFH Policy

Wellness programs

Career development

Volunteer time off

Competitive benefits

Job summary

Cloudera is seeking a customer-facing Data Engineering & Streaming Specialist to join our global team. You will lead engagements, design scalable, cloud-native data architectures, and demonstrate business outcomes to technical and executive stakeholders.

In this mid-senior role, you will drive PoCs, solution sizing, and platform adoption focused on data prep, CDC, streaming, and AI readiness, while shaping product direction through customer feedback.

Qualifications

• Extensive experience leading enterprise data pipelines and streaming solutions.
• Proven ability to run PoCs and MVPs that translate to production deployments.
• Strong communication across technical teams to executive leadership.
• Experience with cloud-native architectures, data governance, and security.

Responsibilities

• Lead customer engagements by designing scalable cloud-native data architectures.
• Support PoCs, solution sizing, and platform adoption focused on data prep, CDC, streaming, and AI readiness.
• Collaborate with Sales, Product, and Engineering to align customer outcomes with product vision.
• Evangelize open-source data technologies and contribute to AI readiness initiatives.

Skills

Customer engagements

Solution sizing

Executive communication

Cloud-native architectures

Tools

Apache Spark

Apache Kafka

Apache Flink

Airflow

Apache NiFi

Kubernetes

Iceberg

Job description

Business Area: Sales Engineering Seniority Level: Mid‑Senior level

Задачи:

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. Cloudera is seeking a customer‑facing, hands‑on Data Engineering & Streaming Specialist to join our global team. In this pivotal role, you will leverage deep technical expertise to empower our enterprise 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, customer engagement, and shaping the future of cloud‑native data architectures and AI at scale, this role provides the platform to make a global impact. Lead customer engagements by designing and presenting scalable, cloud‑native data engineering architectures and business outcomes to both technical and executive stakeholders. Provide deep domain expertise throughout the sales cycle, supporting Proof of Concepts (PoCs), solution sizing, and platform adoption focused on data prep, Change Data Capture (CDC), streaming, and AI readiness. Troubleshoot and resolve complex technical issues in customer data pipelines, providing architectural guidance and leading technical escalations. Drive internal and external technical enablement by exploring new cloud‑native streaming and batch technologies, developing educational materials, and sharing best practices. Influence the product roadmap by translating customer feedback and regional requirements into actionable insights for Product and Engineering teams. Act as a Cloudera evangelist, participating in open‑source community activities, speaking at industry events, and sharing expertise on modern, AI‑ready data engineering. Collaborate effectively across Sales, Product, and Engineering teams to align customer outcomes with product vision. Strong English

Требования:

Proven experience leading and implementing mission‑critical data use cases in enterprise environments (e.g., Financial Services, Retail, Healthcare, Public Sector). Extensive experience designing, building, and deploying enterprise‑grade data engineering pipelines and real‑time streaming solutions on modern, cloud‑native architectures. Hands‑on expertise with core processing and streaming technologies, specifically Apache Spark, Airflow, Apache NiFi, Apache Flink, and Apache Kafka. Strong background in architecting production deployments across hybrid and multi‑cloud environments, focusing on data preparation, Change Data Capture (CDC), and ingestion at scale. Demonstrated ability to run PoCs and MVPs that transition into successful, production‑grade deployments optimized for AI readiness. Practical experience navigating enterprise security, data quality, and governance challenges to build reliable data foundations. Exceptional communication and presentation skills, with comfortable engagement spanning data engineers to executive leadership. Experience analyzing customer data workloads to define tailored technical migration or modernization roadmaps. Working knowledge of the broader open‑source data and AI ecosystem, particularly open table formats like Apache Iceberg and container orchestration via Kubernetes. You may also have: Prior experience in pre‑sales, solutions architecture, or technical consulting roles focused on Big Data & AI platform solutions. Direct experience with legacy or competing streaming/data engineering platforms (e.g., Confluent, Databricks, AWS EMR/Glue) and leading migration strategies to cloud‑native alternatives. Experience with DataOps practices, including CI/CD for data pipelines and automated data quality frameworks. Direct familiarity with Cloudera components such as Cloudera Data Engineering (CDE), Cloudera DataFlow (CDF), and Shared Data Experience (SDX). Relevant technical certifications (e.g., Databricks Certified Data Engineer, Confluent Certified Developer, AWS Certified Data Analytics). Deep understanding of data engineering prerequisites for machine learning, deep learning, and Generative AI applications.

Условия:

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