Senior Presales Solutions Architect

Summary

Join Dremio as a Presales Solutions Architect and contribute to the development of technical strategies and solutions for the East region. You will engage with the sales team and prospects, presenting Dremio's product and technology while addressing technical inquiries. This role requires a deep understanding of Dremio's product and technology, along with the ability to design and architect end-to-end data solutions. You will also be responsible for conducting proof-of-concept demonstrations and acting as a trusted advisor to clients. This position involves frequent travel and requires strong communication, problem-solving, and relationship-building skills.

Requirements

• 5-10+ years experience with the majority of experience in large enterprise as a Sales Engineer/Presales Solutions Architect
• Knowledge of Databases, specifically MPP analytic databases and data warehousing concepts
• Strong understanding of data architecture concepts, including data lakes, data virtualization, and data mesh principles
• Working knowledge of Linux, comfortable installing, debugging and integrating applications on Linux platform
• Strong experience and expertise in SQL queries, syntax, data modeling and optimization
• Knowledge of various data storage technologies, such as HDFS, Amazon S3, Azure Data Lake Storage, and relational databases
• Experience with data integration techniques, including ETL/ELT processes, data ingestion, and data transformation
• Familiarity with big data processing frameworks like Apache Spark, Hadoop MapReduce, and Hive
• Ability to perform performance tuning and optimization of Dremio queries and workflows
• Experience with data visualization tools (e.g., Tableau, PowerBI) and understanding of data visualization best practices
• Knowledge of data security and privacy best practices, including authentication, authorization, and data encryption
• Great presentation skills with the ability to speak in front of audiences
• Ability to travel at least 30% of the time
• Strong problem-solving skills and ability to design and implement solutions to complex data challenges
• Ability to design and lead the implementation of large-scale, enterprise-level data architectures
• Ability to articulate technical concepts and solutions to both technical and non-technical audiences
• Effective in building strong relationships with customers, partners, and internal stakeholders

Responsibilities

• Engaging with the Dremio Sales Team and Prospects in preparing and presenting the Dremio product and technology while addressing any technical questions or concerns that come up during the sales cycle
• Supporting the technical needs of customers and resolving technical issues, along with engaging them on any additional issues, problems, or opportunities regarding the Dremio product
• Develop a deep understanding of the Dremio product and technology and work closely with Engineering, Sales and others to resolve critical technical issues
• Traveling to clients and potential clients and serving as the key technical interface with customers
• Understand the business drivers, challenges and objectives in various industries and domains
• Design and architect end-to-end data solutions leveraging Dremio's capabilities, including data virtualization, data catalog, and query optimization
• Configure and optimize and run Dremio POC’s to meet performance, scalability, and security requirements for potential prospects
• Act as a trusted advisor to clients, providing expert guidance and recommendations on leveraging Dremio effectively
• Build and maintain strong client relationships, ensuring high levels of customer satisfaction and retention
• Identify opportunities for expanding the usage of Dremio within client organizations and drive adoption of new features and capabilities

Preferred Qualifications

• Ability to understand and code in core programming languages such as Python, Java or Scala
• Familiarity with agile development methodologies and experience working in collaborative, cross-functional teams
• Relevant certifications, AWS Certified Data Analytics, or similar data-related certifications

Benefits

• Medical, dental, and vision insurance
• Short-term / long-term disability and life insurance
• 401(k) Plan
• 12 company paid holidays
• Flexible paid time off
• 16 hours of volunteer time off
• Paid parental leave
• Employee Assistance Program (EAP)
• Bi-annual swag surprise