Solutions Engineer - East Coast

Business Area:

Sales Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

As the world generates even more volumes of data, from any device or thing, companies are discovering the need to gain immediate insights from their data by studying recurring trends and patterns over time, and staying competitive by implementing predictive actions for their business that will yield positive outcomes.

Cloudera's CDP Platform enables customers to harness those volumes of increasingly valuable data by securely hosting data lakes and efficiently managing data analytics & computing workloads between public clouds and private cloud solutions in data centers.

As a Cloudera Solutions Engineer
, you will drive the technical pre-sales motion in close partnership with Account Executives to win deals and build lasting customer relationships. Working alongside sales teams, you will partner directly with prospective customers to run deep discovery and unpack their business drivers, pain points, and technical goals. You will leverage your solution design skills to demonstrate how the CDP platform solves their challenges, delivering tailored solution designs, impactful demos, and proof-of-concepts that showcase the measurable value of Cloudera's solutions.

• Serve as a trusted technical advisor throughout the pre-sales lifecycle, leading technical discovery, custom solution design, and interactive demos to translate customer pain points into high-value business outcomes.

• Create and deliver customer-centric solution designs, proposed architectures and business outcomes to all levels - developers, architects, CTO, and CIO

• Advise customers on use case patterns through discovery and requirements workshops

• Work with teammates and management to define technical selling strategy

• Work with cross-functional teams including Sales, Marketing, Product Management, Services, Support, Training, and Engineering to share Cloudera's Vision with customers

• Transform customer feedback into actionable product roadmap items

• Champion and drive adoption of key open-source data ecosystems, including Spark, Iceberg, Open Data Lakehouse architectures, AI, and streaming platforms (NiFi, Kafka, Flink).

• Participate within the Cloudera community, share evangelism activities (blogs, meetups, industry events), and contribute to internal and external knowledge repositories

• 5+ years of professional work experience in a pre-sales customer facing role (Solutions Engineer, Sales Engineer, technical consultant, Solutions Architecture or similar position) acting as a co-seller selling solutions to business leaders and technical champions in the enterprise.
• Demonstrated experience conducting technical discovery, whiteboarding proposed solutions, running demos, and building technical proof of concepts to drive clear business outcomes.
• You have experience with public cloud infrastructures (AWS, Azure, GCP, IBM Cloud, etc.) You have an interest in achieving your public cloud certification.
• You have experience with the Apache Hadoop ecosystem (HDFS, YARN) and related components (Spark, Hive, Impala, Kudu, Solr, etc.) and can talk to the benefits of a centralized architecture for both data management and data access
• You have some experience of the formation of Data Lakes, principles of Data Warehousing, SQL and relational database patterns, and application integration
• You may have experience with Data Flow, Queues and Stream Processing (Nifi, Kafka, Flink, Spark) in enterprise applications
• You have some basic software development experience in Java, Scala or Python
• You have some knowledge of differentiators across the competitive landscape
• You have an interest in Data Science and understand the difference between…