Data Engineering & Streaming Specialist

About the role

Cloudera is looking for a customer-facing, hands-on Data Engineering & Streaming Specialist to join its global team. You will use deep technical expertise to support enterprise customers, influence product direction and drive success in data engineering, real-time streaming and AI readiness use cases. The role is listed as mid-senior level and is advertised as remote.

Key responsibilities

• Lead customer engagements by designing and presenting scalable, cloud-native data engineering architectures and business outcomes to technical and executive stakeholders.
• Support Proof of Concepts (PoCs), solution sizing and platform adoption for data prep, Change Data Capture (CDC), streaming and AI readiness.
• Troubleshoot complex technical issues in customer data pipelines, give architectural guidance and lead technical escalations.
• Drive technical enablement by exploring new streaming and batch technologies, developing educational materials and sharing best practices.
• Influence the product roadmap by turning customer feedback and regional requirements into insights for Product and Engineering teams.
• Act as a Cloudera evangelist: participate in open-source community activities, speak at industry events and share expertise on AI-ready data engineering.
• Collaborate with Sales, Product and Engineering teams to align customer outcomes with product vision.

Required profile

• Proven experience leading and implementing mission-critical data use cases in enterprise environments (e.g. financial services, retail, healthcare, public sector).
• Experience designing, building and deploying enterprise-grade data engineering pipelines and real-time streaming solutions on cloud-native architectures.
• Ability to run PoCs and MVPs that move into production deployments optimized for AI readiness.
• Experience handling enterprise security, data quality and governance challenges.
• Strong English and exceptional communication and presentation skills, engaging data engineers through to executives.
• Experience analysing customer data workloads to define migration or modernization roadmaps.

Required skills

• Apache Spark, Airflow, Apache NiFi, Apache Flink and Apache Kafka.
• Hybrid and multi-cloud production deployments, data preparation, CDC and ingestion at scale.
• Working knowledge of open table formats such as Apache Iceberg and Kubernetes.
• Nice to have: pre-sales, solutions architecture or technical consulting experience; experience with Confluent, Databricks, AWS EMR/Glue and migration strategies; DataOps, CI/CD for data pipelines and automated data quality; Cloudera Data Engineering, DataFlow and Shared Data Experience; relevant certifications such as Databricks Certified Data Engineer, Confluent Certified Developer or AWS Certified Data Analytics.

What we offer

• Generous PTO policy and Unplugged Days.
• Flexible working from home policy.
• Mental and physical wellness programs.
• Phone and internet reimbursement.
• Career development access, comprehensive benefits and competitive packages.
• Paid volunteer time and Employee Resource Groups.