Job Description

Business Area: Sales Engineering
Seniority Level: Mid-Senior level
:
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 an Associate Solutions 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.
As an Associate Solutions Engineer you will be responsible for:
Customer Engagement & Technical Pre-Sales

• Lead discovery sessions with enterprise customers to understand business objectives and technical requirements.
• Deliver impactful presentations, whiteboard sessions, and product demonstrations that clearly convey architectural concepts and value propositions.
• Drive proof-of-concept (POC) projects, including setup, data integration, and performance validation.

Solution Design & Architecture

• Architect end-to-end data pipelines and AI/ML workflows using Cloudera Data Platform (CDP) across on-prem, hybrid, and public cloud deployments.
• 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.

AI & ML Engineering

• 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 (MLflow, Kubeflow, or equivalent).
• Collaborate with customer data science teams to accelerate the adoption of Cloudera Artificial Intelligence (CAI) and Agentic workflows ecosystems.

Technical Evangelism & Enablement

• Create reusable demo assets, sample code, and reference architectures highlighting AI/ML capabilities.
• Demonstrate Cloudera best practices and/or AI/ML integration patterns.
• Represent Cloudera at industry conferences, webinars, and community events.

We're excited about you if you have:

• 5-7 years in data engineering, AI/ML engineering, or solution architecture, with at least 1 year in a customer-facing pre-sales or consulting capacity.
• 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; able to explain complex ideas with clarity to both executives and technical audiences.

You may also 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.).
• Prior work with GenAI or LLM-based solutions.

What you can expect from us:
Generous PTO Policy
Support work life balance with
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Employee Resource Groups
EEO/VEVRAA
#LI-SV1

Skills Required