Senior Curriculum Developer – GenAI Applications, Data Engineering

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Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $4.1M Venture Round on 2013-01

Enterprise • SaaS • Artificial Intelligence

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.

📋 Description

• Design and develop technical training focused on Generative AI, Agentic AI workflows, and AI application development • Create instructor-led guides, lab manuals, Jupyter notebook-based exercises, and on-demand video content • Develop technical assessments, certification questions, and demo environments • Lead and conduct technical ML/AI and Agent development workshops directly for customers and internal teams • Build and maintain labs using Python, AI/ML frameworks, Vector databases, and NVIDIA-accelerated data pipelines • Partner with Product, Engineering, and Solution Architecture teams to ensure training reflects the latest platform capabilities • Iterate on course content based on learner feedback, instructor input, and emerging industry trends like LLMOps

🎯 Requirements

• Total 6+ years of data and application development experience • 4+ years in curriculum development, technical training, AI/ML/Data Engineering, or MLOps • Proven ability to conduct hands-on workshops • Simplify complex AI concepts for technical and non-technical audiences • Expertise in Agent frameworks (CrewAI, LangChain, NVIDIA AI-Q), Vector databases, RAG pipelines, and Git/version control • Familiar with OpenAI v1 API • Experience with NVIDIA AI Agent & Data Engineering stack • Experience & Competencies • Advanced Architecture Knowledge of Data Lakehouse architectures, Apache Spark, Kafka, and Airflow • Familiarity with AI governance, Responsible AI, and NVIDIA OpenShell for secure agent runtimes • Exposure to Cloudera environments, LMS platforms, and DevOps/CI/CD practices • Experience with certification development and video recording/editing tools.

🏖️ Benefits

• 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