Senior Presales Architect - West

Posted 15 Days Ago
Be an Early Applicant
3 Locations
Remote
Senior level
Big Data • Software
The Role
The Senior Presales Architect will engage with sales and customers, addressing technical questions and concerns while providing expert guidance on Dremio’s product. The role involves designing end-to-end data solutions and optimizing proof of concepts. It requires strong knowledge in data architecture and the ability to maintain client relationships for successful product adoption.
Summary Generated by Built In
Be Part of Building the Future

Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regeneron, NetApp, and S&P Global. Customers rely on Dremio for cloud, hybrid, and on-prem lakehouses to power their data mesh, data warehouse migration, data virtualization, and unified data access use cases. Based on open source technologies, including Apache Iceberg and Apache Arrow, Dremio provides an open lakehouse architecture enabling the fastest time to insight and platform flexibility at a fraction of the cost.  Learn more at www.dremio.com.

About the role

As a Presales Solutions Architect, you will work proactively with the technical community in the West region to innovate and develop technical strategies and solutions supporting a common outcome. Qualified candidates will demonstrate the capability to excel in a fast-paced environment, demonstrate deep knowledge of international operations and the unique nuances operating within various geographies.

The Presales Solutions Architect must be passionate about Dremio’s mission, thrive in a dynamic environment, and be willing to jump in and get things done. The candidate is equally comfortable in both business and technical contexts, interacting both with executives and technology practitioners.

What you’ll be doing

  • 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.

What we’re looking for

  • 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

Bonus points if you have

  • 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

The On-Target Earnings (OTE) for this position is around $275,000 per year, which includes an annual base salary and on-target commission. The base pay actually offered will take into account internal pay parity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.

#LI-remote #LI-EH1 #LI-San Francisco

What we value 

At Dremio, we hold ourselves to high standards when it comes to People, Thinking, and Action. Our Gnarlies (that's what we call our employees) communicate with clarity, drive accountability, and are respectful towards each other. We confront brutal facts and focus on results while operating with a sense of urgency and building a "flywheel". People who like to jump in and drive momentum will thrive in our #GnarlyLife.

Dremio is an equal opportunity employer supporting workforce diversity. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability status, or any other unlawful factor.

Dremio is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter.

Dremio has policies in place to protect the personal information that employees and applicants disclose to us. Please click here to review the privacy notice. 

Important Security Notice for Candidates

At Dremio, we uphold trust and transparency as paramount values in all our interactions with customers, partners, employees, and the general public. We have been targeted by individuals creating fake domains similar to ours to scam prospects and candidates. Please note that all official communications from us will be from an @dremio.com domain. If you suspect you've been targeted by a scam, it's imperative to report the incident to your local law enforcement agencies. For more information about this type of scam, please refer to Dremio's official statement here.

Top Skills

SQL
The Company
Santa Clara, CA
258 Employees
On-site Workplace
Year Founded: 2015

What We Do

Dremio is the Data Lake Engine. Created by veterans of open source and big data technologies, and the creators of Apache Arrow, Dremio is a fundamentally new approach to data analytics that helps companies get more value from their data, faster. Dremio makes data engineering teams more productive, and data consumers more self-sufficient. For more information, visit www.dremio.com.
Founded in 2015, Dremio is headquartered in Mountain View, CA. Investors include Lightspeed Venture Partners, Redpoint, and Norwest Venture Partners. Connect with Dremio on GitHub, LinkedIn, Twitter, and Facebook.

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