Full-Time

Senior Presales Solutions Architect

Confirmed live in the last 24 hours

Dremio Corporation

Dremio Corporation

201-500 employees

Data analytics platform for enterprises

Data & Analytics
Enterprise Software

Senior

Remote in USA

Category
Sales Engineering
Sales & Solution Engineering
Required Skills
Agile
Python
Apache Spark
SQL
Java
Tableau
Scala
Hadoop
Linux/Unix
Requirements
  • 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
  • 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
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.

Dremio provides a platform for data analytics and management that enables businesses to access and analyze their data without needing to move or copy it. This is especially beneficial for companies with large data lakes or relational databases. The platform is user-friendly and integrates with popular cloud services like AWS and Azure, allowing for quick deployment and configuration. Dremio also connects with various business intelligence and data science tools, facilitating easier data work for analysts and scientists. Targeting medium to large enterprises across industries such as finance, healthcare, retail, and technology, Dremio operates in the growing data analytics and cloud computing market. Its business model combines subscription and usage-based pricing, allowing clients to pay based on their data operations and features needed. Dremio aims to provide a flexible and scalable solution for businesses to leverage their data for strategic decision-making.

Company Stage

Series E

Total Funding

$398.8M

Headquarters

Santa Clara, California

Founded

2015

Growth & Insights
Headcount

6 month growth

5%

1 year growth

12%

2 year growth

-6%
Simplify Jobs

Simplify's Take

What believers are saying

  • Dremio's recent product improvements and generative AI features, such as text-to-SQL translation, position it at the forefront of innovation in the data analytics market.
  • The general availability of Dremio Cloud on Microsoft Azure enhances its scalability and performance, offering significant cost savings over traditional data warehouses.
  • Strategic partnerships, like the one with Carahsoft, expand Dremio's reach into the public sector, opening new market opportunities.

What critics are saying

  • The rapidly growing and competitive data analytics market requires Dremio to continuously innovate to maintain its edge.
  • Integration of new leadership, such as the ex-Splunk chief cloud officer as CEO, may lead to strategic shifts that could impact company stability.

What makes Dremio Corporation unique

  • Dremio's platform allows businesses to access and analyze data without moving or copying it, which is a significant advantage over traditional data analytics solutions.
  • The integration with popular cloud services like AWS and Azure enables quick and efficient deployment, setting Dremio apart from competitors with less seamless cloud integration.
  • Dremio's support for a wide range of BI and data science tools makes it a versatile solution for data analysts and scientists, unlike more specialized or limited platforms.

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Benefits

Health, Dental, and Vision Insurance

401(k)

Stock Options

Work From Home

Office Events

Parental Leave Benefits

Paid Time Off