Senior Solutions Engineer

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Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $4.1M Venture Round on 2013-01

Enterprise • SaaS • Artificial Intelligence

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

📋 Description

• Own the technical sales process from introductory meetings (net new sales) through post-sales (customer satisfaction, upselling, and subscription renewals) • Supporting the technical needs of customers includes discovering new use cases for Cloudera’s technology • Designing solutions for your customers’ needs using Cloudera technologies, based on reference architectures and common patterns • Demonstrating Cloudera products in a way that inspires your customers to say “yes” to Cloudera • Partnering with your Account Managers to show your customers the true value of a Cloudera solution and drive successful sales • Presenting product roadmap and vision to inspire your customers to think bigger • Interfacing with other Cloudera teams to ensure your customers hear one Cloudera voice • Advocating for your customers’ needs to Product Management and Engineering • Participating in external publicity and evangelism (conferences, meetups, webinars, blogs)

🎯 Requirements

• A minimum of 5 years experience in a customer-facing role, ideally in a pre-sales context • The ability to create and give technical presentations and demonstrations • Experience with some of the following technologies: Big Data, Data Warehousing, or Relational Databases with In-depth knowledge SQL – query optimization and data model design • One or more of the three major cloud service providers (AWS, Azure or GCP). Formal certification is not required but would be a great thing to have • Data Engineering, Data Science or Machine Learning&AI • Knowledge of distributed systems, ETL and ETL workflows • Operations, Security and Data Governance within the enterprise • Unix or Linux • Development experience with Java / OO programming or Python • Experience in using tools like Docker and Kubernetes would be a great thing to have • Experience gathering and understanding customer business requirements • Excellent written and verbal communication • Problem-solving skills • A willingness to learn, a curiosity to discover, and a drive to make your customers successful • Fluent in French and English.

🏖️ 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