Cloudera

Associate Presales Solutions Engineer

Cloudera

full-time

Posted on:

Location Type: Hybrid

Location: Bangalore • India

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Tech Stack

AWSAzureCloudGoogle Cloud PlatformHadoopJavaKafkaPythonPyTorchRDBMSScalaSparkSQLTensorflow

About the role

  • 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.
  • 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.
  • 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.
  • 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.

Requirements

  • 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.
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
  • EEO/VEVRAA
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringAI/ML engineeringsolution architecturePythonScalaJavaSQLHadoopSparkKafka
Soft Skills
presentation skillsstorytelling skillscommunication skillscollaborationcustomer-facingconsulting