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Omni

Solutions Engineer – Level 2

Omni

Solutions Engineer providing technical expertise in sales processes for Omni's AI analytics platform. Engaging with customers to showcase use cases and support data analytics efforts.

Posted 7/17/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics and business intelligence, with strong SQL skills and familiarity with modern data stack technologies. Capable of effectively engaging with customers to provide technical insights and support throughout the sales process.

Highest-signal resume keywords
Data Analytics ExperienceSQL ProficiencyCloud Data WarehousesBusiness Intelligence ToolsPre-Sales Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalyticsSQLBusiness IntelligenceCloud Data WarehousingData Transformation
Soft Skills
Customer EngagementTeachingCollaborationPassion for DataCommunication
Tools & Technologies
SnowflakeBigQueryDatabricksRedshiftLookerOmniTableauPowerBIModeSisense

Tech Stack

Tools & technologies
Amazon RedshiftBigQueryCloudSQLTableau

About the role

Key responsibilities & impact
  • Partner with the sales team to provide technical expertise in the sales process and beyond, helping uncover and prove out use cases to showcase the value of the Omni platform.
  • Build and present Proofs of Concept (POCs) in the Omni Platform as part of the evaluation process, enabling prospective customers on how to successfully use Omni on their data.
  • Smoothly transition trials into successful customers by partnering with post-sales teams and engaging with our partners to plan for ongoing support where needed.
  • Collaborate extensively with Product, Design, and Engineering to provide user feedback and guide product direction.

Requirements

What you’ll need
  • 5-7 years of data analytics/BI experience including some pre-sales experience.
  • Strong SQL skills, using SQL for analytics.
  • Familiarity with the modern data stack, including cloud data warehouses (e.g. Snowflake, BigQuery, Databricks, Redshift) and transformation tools (e.g. dbt).
  • Comfortable owning technical conversations directly with customers.
  • Passionate about working with data; love learning, and enthusiastic about helping and teaching others.
  • Prior experience with business intelligence and/or enterprise data analytics tools strongly preferred (such as Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc).

Benefits

Comp & perks
  • Health, dental, and vision insurance.
  • 401(k) Plan.
  • Unlimited PTO.