Solutions Engineer

2 days ago

Singapore Cloudera Full time

Overview
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Solutions Engineer
role at
Cloudera .
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Business Area:
Sales Engineering
Seniority Level:
Mid-Senior level
Job Description:
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.
Cloudera is currently seeking a customer-facing, hands-on technologist with a strong track record of success to join our team in one of Cloudera's fastest-growing and most strategic markets.
This is an exciting opportunity to help enterprise organizations unlock the power of data and AI using Cloudera's modern open data lakehouse, streaming, and machine learning platform.
A Day in the Life
As a Solutions Engineer at Cloudera, your mission is to remove technical barriers and accelerate adoption of Cloudera's data and AI platform. You'll partner with customers to architect enterprise-scale solutions that span data ingestion, transformation, governance, and machine learning — including emerging use cases around Generative AI.
This is not a PowerPoint-only role. You'll be a practitioner-architect working directly with enterprise data teams, ML engineers, and IT architects to design and implement real-world solutions, including MLOps pipelines, AI/ML workflows, and production-grade GenAI use cases.
What you will do
Collaborate with customers, partners, and prospects to understand business and technical requirements, and design data and AI solutions using Cloudera technologies.
Architect end-to-end machine learning pipelines from data ingestion to model deployment and monitoring.
Lead technical conversations around MLOps, data science workflows, and GenAI integration with enterprise platforms.
Own the technical sales process from introduction through post-sales success, including expansion and renewal.
Deliver demos, whiteboarding sessions, and proof-of-concepts that showcase real-world value.
Evangelize Cloudera's AI and data platform vision to data scientists, ML engineers, and business stakeholders.
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