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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. As a Presales Solution Engineer, you will partner and collaborate with the sales team to design, present, and prove Cloudera’s hybrid data platform and AI/ML solutions to end customers. This role requires deep technical expertise, hands-on development skills, and the ability to translate complex concepts into clear, compelling business value for enterprise customers.
Job Responsibility:
Lead discovery sessions with enterprise customers to understand business objectives and technical requirements
Deliver impactful presentations, whiteboard sessions, and product demonstrations
Drive proof-of-concept (POC) projects, including setup, data integration, and performance validation
Architect end-to-end data pipelines and AI/ML workflows using Cloudera Data Platform (CDP)
Design scalable solutions covering data ingestion, streaming, data lakes/warehouses, and machine-learning lifecycle management
Recommend cluster sizing, performance tuning, and security/governance best practices
Build and deploy ML models using Python, Scala, or Java with frameworks such as PyTorch, TensorFlow, or Spark MLlib
Develop reproducible pipelines for model training, testing, and deployment
Collaborate with customer data science teams to accelerate the adoption of Cloudera Artificial Intelligence (CAI) and Agentic workflows ecosystems
Create reusable demo assets, sample code, and reference architectures
Represent Cloudera at industry conferences, webinars, and community events
Requirements:
10+ years in data engineering, AI/ML engineering, or solution architecture
At least 1 year in a customer-facing pre-sales or consulting capacity
Experience with GenAI or LLM-based solutions
Strong coding ability in Python, prompt engineering, SQL, RDBMS, and at least one additional language (Java/Scala preferred)
Deep knowledge of distributed data systems (Hadoop, Spark, Kafka, Iceberg) and major cloud platforms (AWS, Azure, GCP)
Hands-on experience building, training, and deploying machine learning models in production
Exceptional presentation and storytelling skills
Ability to deliver crisp presentations and documentation with well-structured arguments
Nice to have:
Experience with containerization and orchestration (Docker, Kubernetes)
Familiarity with MLOps practices, CI/CD pipelines, and model monitoring
Understanding of data security, governance, and compliance frameworks (GDPR, HIPAA, etc.)
Ability to connect customer goals with Cloudera’s platform vision