Dremio · 13 hours ago
Senior Presales Solutions Architect - East
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AnalyticsBig Data
Comp. & Benefits
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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.
Qualification
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Required
8-10+ 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
Preferred
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, are a plus
Company
Dremio
The Easy and Open Data Lakehouse: Self-service analytics with data warehouse functionality and data lake flexibility across all of your data
Funding
Current Stage
Late StageTotal Funding
$410MKey Investors
Adams Street PartnersSapphire VenturesInsight Partners
2022-01-25Series E· $160M
2021-01-06Series D· $135M
2020-03-26Series C· $70M
Recent News
2024-05-19
2024-05-04
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