Jobs at Cloudera

Lead commercial structuring and field pricing execution for large, complex enterprise deals. Partner with sales, pricing strategy, and value management to design repeatable programs, drive pricing execution, analyze deal profitability, and coach account teams to scale high-growth outcomes.

Design, implement, and maintain cloud connectors integrating Cloudera's platform with AWS, Azure, GCP. Build scalable data ingestion and synchronization code, lead architecture and design, mentor engineers, perform code reviews, troubleshoot production issues, and document APIs and designs.

Own and grow strategic enterprise accounts by driving net-new revenue, leading large sales cycles, aligning product and services experts, forecasting and leading internal teams, and exceeding software subscription and cloud consumption targets.

The Senior Solutions Architect will design and develop scalable data solutions, manage Hadoop clusters, and collaborate with clients to resolve complex data challenges.

The Senior Data Scientist at Cloudera will design and deliver AI-powered applications, focusing on generative AI and machine learning, while ensuring scalable and production-ready solutions.

Design and implement high-performance Rust infrastructure services (reverse proxies, credential brokers, log collectors) for Kubernetes. Ensure security-critical correctness with thorough testing (property-based and fuzzing), define systems architecture and observability, drive technical direction, mentor engineers, and own production deployments and performance-sensitive components.

The Partner Sales Manager at Cloudera is responsible for driving sales opportunities, developing partner strategies, managing partnerships, and forecasting sales metrics in alignment with corporate goals.

Embed with strategic enterprise customers to prototype, build, and productionize full-stack generative AI and agentic applications; advise on AI strategy, codify repeatable solution patterns, mentor teams, and channel field feedback to product. Focus on scalable, secure AI architectures and LLM/MLOps practices to operationalize RAG, fine-tuning, semantic search, and agentic workflows.

Lead design and implementation of Spark and Livy-based features for large-scale distributed data processing. Contribute to Apache projects, develop in Java/Scala/Python, debug production clusters, improve infrastructure, and collaborate across distributed teams to deliver enterprise-grade data engineering capabilities.

Leads and mentors Partner Solutions Engineers while managing strategic technology alliances and joint go-to-market initiatives. Designs and presents data, cloud, and AI solutions; supports RFPs, proof-of-concepts, technical wins, and sales closures. Develops partner programs, co-engineering initiatives, marketplace integrations, and sales plays. Influences product strategy through partner feedback and represents Cloudera through thought leadership. Requires strong alliance, data ecosystem, solution engineering, leadership, and technical expertise, with domestic and international travel.

Supports enterprise program delivery by coordinating project scope, milestones, risks, dependencies, stakeholders, and outcomes. The role uses Agile practices, tracks project velocity and progress, facilitates communication across departments, and promotes continuous improvement, team health, psychological safety, and iterative value delivery. It also involves coordinating cross-functional product launch activities across marketing, sales, and development.

Lead technical discovery and validation of enterprise Private AI use cases. Run hands-on workshops, assess data and infrastructure readiness, build lightweight proofs of concept and reference architectures, and translate qualified opportunities into engineering requirements for production handoff.

Lead global partner marketing strategy and execution for strategic partners (e.g., NVIDIA, Dell). Develop to/through/with-partner demand programs, align stakeholders, build messaging and collateral, define KPIs, run campaigns, measure results, and optimize programs. Collaborate across marketing, sales, and partner teams to drive awareness, pipeline, and partner engagement.

Designs, investigates, and optimizes infrastructure for production AI workloads across GPU environments, on-premises datacenters, private infrastructure, and public clouds. Diagnoses Linux, GPU, container, networking, storage, and hardware issues; develops benchmarking, diagnostic, deployment, and validation tooling; improves inference performance, GPU utilization, reliability, and scalability; and translates technical findings into product capabilities in collaboration with engineering and product teams.

Provides technical leadership and hands-on engineering for Cloudera’s cloud-native streaming platform. Designs, implements, tests, and releases scalable distributed-system features using Apache Flink and related technologies. Leads architectural decisions and cross-functional initiatives, mentors engineers, collaborates with global teams, supports customers, contributes to open-source communities, and advances platform reliability, security, observability, performance, and automated testing.

Own enterprise account relationships, generate net new revenue, build executive-level customer relationships, lead large transactions, manage pipelines and forecasts, coordinate internal teams, and exceed software subscription, professional services, and training sales targets. The role focuses on media and entertainment customers and requires expertise in data management, data warehousing, containers, Kubernetes, and public cloud infrastructure, along with domestic and international travel.

Build and deploy full-stack AI/ML and agentic applications on the Cloudera platform, embedding with enterprise customers to move use cases from prototype to production. Advise leaders on AI roadmaps, architecture, and deployment; standardize successful solutions into reusable architectures and playbooks; mentor teams; and relay customer feedback to Product. The role requires strong software, data engineering, applied AI/ML, and production deployment expertise.

Own and grow revenue across assigned financial services accounts by developing business plans, building executive relationships, managing pipelines and forecasts, leading large transactions, coordinating internal specialists, and exceeding subscription, renewal, professional services, and training sales goals. The role requires enterprise software sales experience and knowledge of data management, data warehousing, AI use cases, containers, Kubernetes, and public cloud infrastructure.

Lead EMEA sales operations across territory and quota planning, forecasting, pipeline reviews, QBRs, data infrastructure, dashboards, and operational modeling. Partner with sales leadership and cross-functional teams to diagnose performance, improve processes, automate workflows, and translate complex data into executive-ready insights and actions. The role requires advanced spreadsheet modeling, data-flow design, dashboard collaboration, and proficiency with sales and analytics platforms.

Own and grow enterprise accounts across the Swiss German market, particularly public sector and manufacturing. Develop account plans, build executive relationships, manage pipelines and forecasts, lead internal teams, and close large software subscription, renewal, services, and training deals. The role requires exceeding enterprise sales targets, leading multi-million-dollar sales cycles, understanding data and cloud technologies, and traveling within Switzerland and occasionally across the DACH region or Europe.