
1001 - 5000 employees
Founded 2008
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 $4.1M Venture Round on 2013-01
Consulting • Healthcare • Logistics
Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.
🕒 August 27
🏄 California, Illinois, +3 more states – Remote
💵 $166k - $230k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 23%
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1001 - 5000 employees
Founded 2008
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 $4.1M Venture Round on 2013-01
Consulting • Healthcare • Logistics
Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.
• Lead customer engagements by designing and presenting scalable, cloud-native data engineering architectures and business outcomes • Provide domain expertise throughout the sales cycle, supporting PoCs, solution sizing, and customer adoption • Focus on data preparation, CDC, streaming use cases, and AI readiness • Troubleshoot and resolve complex technical issues in data pipelines • Guide and lead escalations to ensure customer success • Drive internal and external technical enablement through exploration of cloud-native streaming and batch technologies • Develop educational materials and share best practices • Influence the product roadmap by translating customer feedback and EMEA-specific requirements into actionable insights • Participate in community activities and speak at events as a Cloudera evangelist • Collaborate with Sales, Product, and Engineering teams on customer success and product vision
• Proven experience leading and implementing mission-critical data use cases in industries such as Financial Services, Retail, Healthcare, and Public Sector • Proven experience designing, building, and deploying enterprise-grade data engineering pipelines and real-time streaming solutions on modern, cloud-native data architectures • Hands-on expertise with Apache Spark, Airflow, Apache NiFi, Apache Flink, and Apache Kafka • Strong background architecting production data deployments across hybrid and multi-cloud environments • Expertise in data preparation, Change Data Capture (CDC), and data ingestion at massive scale • Demonstrated ability to run Proofs of Concept (PoCs) and MVPs leading to enterprise-grade production deployments • Practical experience designing and implementing data-intensive use cases, including security, data quality, and governance challenges • Exceptional presentation skills engaging audiences from data engineers to senior executives • Ability to analyze customer data workloads and define technical migration or modernization roadmaps • This role is not eligible for immigration sponsorship • Bonus: Prior pre-sales or technical consulting experience focused on big data and AI platform solutions • Bonus: Experience with Confluent, Databricks, AWS EMR/Glue, DataOps, CI/CD, automated data quality frameworks, open-source software, Cloudera CDE/CDF/SDX, relevant technical certifications, Apache Iceberg, Kubernetes, and AI/ML data engineering prerequisites
• Generous PTO Policy • Unplugged Days to support work-life balance • 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 • Commission plan for sales roles
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