1 day ago
Remote, United StatesSenior
Base Salary
$146k - $230k/yr
Responsibilities
- Lead customer engagements by designing and presenting scalable cloud-native data engineering architectures and business outcomes.
- Provide domain expertise throughout the sales cycle, including proofs of concept, solution sizing, adoption, data preparation, CDC, streaming, and AI-readiness use cases.
- Troubleshoot complex technical issues in data pipelines and lead escalations to support customer success.
- Develop technical enablement materials, share best practices, and explore cloud-native streaming and batch technologies.
- Translate customer feedback and regional requirements into actionable product and engineering roadmap insights.
- Participate in community activities, speak at events, and contribute to knowledge sharing.
- Collaborate with Sales, Product, and Engineering teams on customer success and product vision.
Requirements
- Experience leading and implementing mission-critical data use cases in enterprise industries.
- Experience designing, building, and deploying enterprise-grade data engineering pipelines and real-time streaming solutions.
- Hands-on expertise with Apache Spark, Airflow, Apache NiFi, Apache Flink, and Apache Kafka.
- Experience architecting production data deployments across hybrid and multi-cloud environments, including data preparation, CDC, and large-scale ingestion.
- Experience running PoCs and MVPs through successful enterprise production deployments.
- Experience designing data-intensive use cases while addressing security, data quality, governance, and AI-readiness challenges.
- Strong presentation skills and ability to engage data engineers through senior executives.
- Ability to analyze customer workloads and define technical migration or modernization roadmaps.
- Pre-sales or technical consulting experience focused on big data and AI platform solutions is preferred.
- Experience with Confluent, Databricks, AWS EMR, or AWS Glue and customer migration strategies is preferred.
- Experience with DataOps, CI/CD for data pipelines, and automated data quality frameworks is preferred.
- Experience with open-source software and development practices is preferred.
- Familiarity with Cloudera Data Engineering, Cloudera DataFlow, and Shared Data Experience is preferred.
- Relevant certifications such as Databricks Certified Data Engineer, Confluent Certified Developer, or AWS Certified Data Analytics are preferred.
- Knowledge of Apache Iceberg, Kubernetes, and data engineering prerequisites for machine learning, deep learning, and generative AI is preferred.
Benefits
- Generous paid time off, Unplugged Days, and flexible work-from-home policy.
- Mental and physical wellness programs.
- Phone and internet reimbursement program.
- Continued career development, comprehensive benefits, and competitive packages.
- Paid volunteer time and employee resource groups.
- The role is remote, as indicated by the #LI-Remote designation.
- Sales roles are eligible for Cloudera's commission plan.
Tech Stack
Categories
Solutions Engineering
About Cloudera
Cloudera builds the Cloudera Data Platform, an enterprise data stack for hybrid cloud and on‑premises environments that unifies data engineering, warehousing, streaming, and machine learning with governance. It sells subscriptions and managed services to large enterprises across regulated, data‑intensive industries. Founded in 2008 and headquartered in Santa Clara, the company was taken private in 2021 in a transaction led by Clayton, Dubilier & Rice (CD&R).