Principal Solutions Engineer – Artificial Intelligence
This position serves as a technical authority for Cloudera's Enterprise AI portfolio, bridging the gap between data architectures and AI business outcomes. The role involves driving the technical sales lifecycle, architecting solutions using Cloudera AI tools, and presenting roadmaps to C-level executives. Candidates must possess significant experience in pre-sales, data engineering, and cloud infrastructure. The role is focused on evangelizing the value of the Open Data Lakehouse and Unified Data Fabric for global enterprises.
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Experience
8+ years
Function
Engineering
Work mode
Hybrid, Singapore
Company
Tier 2
What you will work on
This position serves as a technical authority for Cloudera's Enterprise AI portfolio, bridging the gap between data architectures and AI business outcomes. The role involves driving the technical sales lifecycle, architecting solutions using Cloudera AI tools, and presenting roadmaps to C-level executives. Candidates must possess significant experience in pre-sales, data engineering, and cloud infrastructure. The role is focused on evangelizing the value of the Open Data Lakehouse and Unified Data Fabric for global enterprises.
TAL's take
Strong individual contributor role at a reputable enterprise data platform company with clear focus on AI and customer-facing impact.
JD provides clear responsibilities, expected technical domains, and specific product focus within the Cloudera ecosystem.
Salaries at Cloudera
33.6 LPA average
Based on 21 Grapevine salary entries for Cloudera.
Engineering
2 - 4 years | L4
24 LPA average
Range: 21 - 27 LPA
Engineering
4 - 6 years | IC3
35 LPA average
Range: 35 - 35 LPA
Engineering
8 - 10 years
60 LPA average
Range: 60 - 60 LPA
Engineering
10 - 12 years | Architect
55 LPA average
Range: 55 - 55 LPA
Must haves
- 8+ years of experience in customer-facing pre-sales or solutions engineering
- Deep experience with Data Engineering, Data Science, or Machine Learning
- Proficiency with major cloud providers (AWS, Azure, or GCP)
- Understanding of hybrid deployment and cloud architecture
- Experience with Big Data, Data Warehousing, or Relational Databases
- Excellent communication and ability to whiteboard complex architectures
Tools and skills
Nice to have: big data, data warehousing, apache iceberg.
About the company
Established enterprise data software company, well-known but currently outside of the top-tier hyperscaler/unicorn list.
Posts mentioning Cloudera
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