Solutions Engineer, SELECT by DoiT

DoiT

12h • Remote

About The Position

DoiT is a global technology company that empowers cloud-driven organizations to achieve business growth and innovation through strategic cloud utilization. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from initial planning to full-scale production.
With deep experience across cloud environments, we specialize in Cloud Data Platforms such as Snowflake, Databricks, and BigQuery, alongside strong FinOps expertise. As a trusted and award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we support over 4,000 customers worldwide.
Our flagship offerings include DoiT Cloud Intelligence, which uniquely blends advanced technology with human insight to solve complex multicloud challenges and drive efficiency. We also offer SELECT for Snowflake—a pioneering solution for cost observability and optimization (with Databricks and BigQuery support coming soon). By automating optimizations and delivering actionable cost-saving insights, SELECT enables organizations to achieve unparalleled efficiency across their Cloud Data Platforms.
The SELECT platform offers:
Automated savings on day one: An autonomous optimization engine that suspends idle compute and spins down excess clusters without requiring engineering time, saving customers 10-20% with minimal human intervention.
Targeted insights that stack-rank savings opportunities: Actionable recommendations that surface oversized resources, inefficient queries, and unused tables, prioritized by savings potential so teams know exactly where to focus.
Full cost visibility, down to the workload: Granular attribution across queries, jobs, teams, and departments, giving organizations the context to compare Cloud Data Platform spend against the business value provided.
Cost control and spike prevention: Budget tracking, forecast tooling, and configurable alerts that not only notify teams of runaway spend but immediately surface root cause analysis, eliminating the need to jump between consoles.
AI-powered investigation that turns hours into minutes: A built-in copilot that accelerates MTTR, frees engineering teams from reactive firefighting, and provides a sustainable path to cost-aware culture across the business.
As a Solutions Engineer, SELECT by DoiT, you will be a pivotal technical leader, collaborating closely with our Account Executive team to deliver exceptional value throughout the customer journey, specifically focusing on our cutting-edge Snowflake/Databricks optimization capabilities.
We are seeking an individual who is not only passionate about Snowflake/Databricks/BigQuery optimization but also thrives on engaging technically with customers, solving their most pressing challenges related to Cloud Data Platform cost and performance. This role offers the exciting opportunity to be at the forefront of innovation within a rapidly evolving ecosystem.
You are an accomplished Solutions Engineer with a proven track record in a B2B SaaS environment, ideally with a strong emphasis on Snowflake/Databricks/BigQuery solutions. You excel as a technical leader within a sales team and are enthusiastic about empowering companies to optimize their Cloud Data Platform environments for maximum cost efficiency and performance through innovative solutions like SELECT. You are highly accountable for the technical success of all initiatives you are involved in and are driven to contribute to a high-performing sales organization that consistently wins in a competitive market. You are comfortable and thrive in a fast-paced, growing, collaborative, and entrepreneurial setting.

Requirements

• 5+ years of experience in a Solutions Engineering role within a B2B SaaS software company, having a significant portion of that experience focused on selling to Snowflake, Databricks and BigQuery users and directly addressing challenges related to Cloud Data Platforms or cloud cost management.
• Deep and demonstrable understanding of Snowflake, Databricks, or BigQuery as well as associated best practices
• Hands-on experience working with SaaS solutions focusing on Cloud Data Platforms in the areas of observability, optimization, FinOps, or data integration.
• Exceptional data analysis skills with a proven ability to identify key trends, outliers, and correlations as well as the translation of those observations into actionable insights.
• Strong track record of leveraging product data to construct compelling business cases and ROI justifications for prospective customers, clearly demonstrating the substantial cost savings and performance enhancements achievable through our solution.
• Exceptional ability to articulate complex Cloud Data Platform related concepts and SELECT functionalities in a clear, concise, and easily understandable manner to both technical and business audiences.
• Outstanding verbal, written, presentation, and interpersonal communication skills, with the confidence and expertise to present on sophisticated topics such as Cloud Data Platform optimization strategies and the compelling value proposition of SELECT.
• Strong intellectual curiosity, exceptional problem-solving abilities, and a genuine passion for continuous learning and improvement within the dynamic Snowflake/Databricks/BigQuery ecosystem.
• Proven experience working with and presenting to executive-level prospects and customers on critical topics related to Cloud Data Platforms and especially cost management.
• Demonstrated experience with modern technical selling best practices/methodologies and a successful track record in competitive sales environments, including the ability to contribute to and implement effective trial, demo, and RFP processes specifically tailored for Cloud Data Platform optimization solutions like SELECT.
• A proven history of success in a fast-paced and scaling business, ideally within the Cloud Data Platform ecosystem.

Nice To Haves

• Prior professional experience as a Snowflake/Databricks/BigQuery data engineer/architect or FinOps professional is a plus.

Responsibilities

• Technical Qualification & Discovery: Collaborating with the Account Executive to thoroughly understand the prospect's technical environment, Cloud Data Platform cost challenges, cost optimization goals, and key business objectives through in-depth technical discovery sessions.
• Technical Validation & POV Leadership: Owning and driving the technical validation and Proof of Value (POV) exercises for SELECT. This includes meticulous POC preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements.
• Platform Demonstrations: Tailoring and delivering compelling SELECT platform demonstrations to prospects, effectively showcasing its capabilities and addressing their specific use cases and concerns.
• Business Case & ROI Development: Leveraging your analytical skills and deep understanding of Cloud Data Platform to develop compelling business cases and robust ROI analyses that clearly articulate the tangible value, cost savings, and performance improvements achievable with SELECT.
• SELECT Expertise: Becoming the go-to expert within the company for SELECT, ensuring prospects achieve optimal results and a seamless implementation experience.
• Technical Win Ownership: Taking full ownership of the technical win for SELECT engagements, guiding prospects through the technical evaluation process, addressing all technical requirements, and building technical confidence in the solution.
• Event & Conference Presentations: Representing DoiT and SELECT at company events and industry conferences, delivering engaging presentations and demonstrations to a wider audience, showcasing our Snowflake/Databricks (and soon BigQuery) optimization expertise as well as platform capabilities.
• Product Feedback and Customer Advocacy: Translate customer pain points and feature gaps into structured, technically credible input for R&D teams. Represent the voice of the technical customer in roadmap discussions.
• Accurate, timely documentation: Ensure timely entry of data into internal business support solutions. Contribute to systems and tools to provide key business information and metrics to highlight performance and effectiveness.

Benefits

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees