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As a Senior Engineering Manager at Cloudera, you'll lead an engineering team to manage the implementation of government certifications like FedRAMP. Responsibilities include collaboration with multiple teams, risk management, technical documentation, and ensuring exceptional customer experiences.

The Sr Data Analyst will collaborate with business teams to ensure the accuracy and availability of Salesforce data. Responsibilities include identifying and resolving data inconsistencies, managing data correction processes, and supporting data migration and system integrations. Effective communication with both technical and non-technical stakeholders is key to this role.

As a Key Account Executive, you will manage key accounts to enhance customer success, develop strategic business plans, influence technology decisions, and lead significant transactions while achieving sales targets in a collaborative environment.

As an Enterprise Account Executive at Cloudera, you will manage and grow revenue for designated accounts, develop business plans, oversee account relationships, lead transactions, and exceed sales goals, all while aligning with the company's strategic objectives.

The Solutions Architect role involves working directly with clients to implement scalable Big Data solutions using Cloudera's technology. Responsibilities include designing platform architectures, performing installations and upgrades, analyzing deployments for optimization, and documenting technical architectures. The role requires extensive experience in IT and system architecture, specifically in large-scale data solutions and requires significant travel across Asia Pacific.

The Tax Senior will manage international tax compliance for non-US entities, assist with financial reporting, oversee indirect taxes, and handle tax audits. Responsibilities include coordinating country-by-country reporting and supporting compliance with new tax legislation while collaborating with finance teams.

The Senior Data Scientist will analyze complex data sets, develop prescriptive models, and deliver actionable insights to support business decisions. Responsibilities include utilizing statistical techniques and machine learning algorithms, ensuring data quality, and mentoring team members in analytics techniques.