Presales Data Architect - Streaming (Remote US)
Company Description
Dear trailblazers, forward-thinkers, and doers - We want you.
DataStax is the real-time data company. With DataStax, any enterprise can mobilize real-time data and quickly build the smart, highly scalable applications required to be a data-driven business. We subscribe to a set of principles that guide how we collaboratively work together. We inspire each other with our values, obsessing over developers and enterprises, taking action and focusing on results, innovating in technology, products, and everything we do, and defining success as the team winning. We foster a diverse working environment that is respectful, generates new ideas, promotes ownership, and encourages highly motivated individuals to shape tomorrow. These form the foundation of the DataStax culture and help drive our decisions.
Job Description
As a Pre-Sales Data Architect focusing on the DataStax streaming portfolio of products, you will work as part of the sales team alongside other Account Executives and Data Architects to qualify, educate and grow our biggest strategic accounts. You will be on the front line of our sales team in a dynamic, high-energy environment. You will become a trusted technical advisor of accounts as they modernize and realize business value over time. This is a pre-sales position.
What you will do:
• Serve as Technical Advisor, coaching enterprises through modernizations, implementations, and transformational outcomes
• Bring your strong background in streaming,messaging, and middleware technologies, patterns, and industry use cases to conversations and technical engagements with customers and prospects
• Drive some of the worlds biggest brands to achieve their most strategic corporate objectives by connecting those objectives to DataStaxs set of solutions
• Collaborate with account executives to develop short and long-range strategies for product expansion; assesses potential application of the company products to meet customer needs
• Be conversant in the current state of Apache Pulsar and its future roadmap
• Present to C-Level executives regarding how streaming and messaging modernization should be at the forefront of their transformational efforts
• Enable customers through well crafted presentations and training sessions including hands-on developer days on-site at customer locations
• Customize and adapt presentations for both small and large audiences, and for audiences with differing levels of technical and business experience
• Maintain up-to-date knowledge of DataStax' competitive positioning in the marketplace
• Travel up to 25% of the time
• Work with Product Management and Engineering to provide feedback from the field
Your experience should include:
• Deep experience with streaming and messaging technologies including expertise in at least one major streaming platform. Previous experience with Kafka and/or Apache Pulsar will provide you with a major advantage.
• Strong understanding of streaming and messaging patterns and their applications enabling real-time data movement, AI/ML, and application integration
• Working in a pre-sales capacity with a history of building trusted technical advisory relationships
• Understanding of Kubernetes and cloud based distributed systems. Hands-on experience is a plus
• Developing in at least one major programming language, Java, Go, Node.js, or Python
• A high degree of comfort speaking at all levels of the organization from CTO to Architects to Developers .
• Demonstrating how youve learned and adapted to new technologies
• Contributing to a culture of knowledge sharing by authoring and contribute to internal and external technical collateral, white papers, tutorials, and best practices
• Specialization in at least one cloud provider stack - AWS, Azure, or GCP
• Experience architecting and delivering solutions in a large enterprise
If this motivates you, we'd love to hear from you!
#LI-Remote
OTE: $204,000-$306,000 USD
Additional Information
All your information will be kept confidential according to EEO guidelines.
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