Solutions Engineer

Blue Orange Digital

. Own a book of new and existing accounts, carry a services number, and forecast accurately .

Posted 10/7/2026full-timeRemote • United StatesMid-LevelSenior💰 $180,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in client-facing technical roles, with a strong focus on data platforms and analytics. Proficient in SQL and Python, with hands-on experience in building and managing data pipelines using tools like dbt and Airflow.

Highest-signal resume keywords

Client Relationship ManagementRevenue OwnershipSQL ProficiencyHands-On EngineeringSnowflake and Databricks Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData Pipeline DevelopmentDebugging in ProductionTechnical Proposal WritingEngagement ScopingReference Architecture CreationTechnical DiscoveryPricing StrategyCo-Selling

Soft Skills

CommunicationLeadershipCollaborationCredibility with StakeholdersProblem-Solving

Tools & Technologies

SnowflakeDatabricksDbtAirflow

Industry Keywords

Data PlatformAnalyticsAISolutions ArchitectSales Engineer

Tech Stack

Tools & technologies

AirflowPythonSQL

About the role

Key responsibilities & impact

Own a book of new and existing accounts, carry a services number, and forecast accurately
Run technical discovery independently
Scope and price engagements
Write proposals and statements of work and defend the scope
Stand up the first sprint on sold engagements hands-on before handing off to a delivery lead
Build reference architectures, demos, and proofs of concept reflecting the intended deployment
Work partner channels at Snowflake and Databricks through co-selling
Feed field learnings into service-line definitions and pricing
Own the client relationship from first call through production
Participate in screening, technical working, commercial, leadership, and reference stages of the hiring process

Requirements

What you’ll need

5 or more years in a client-facing technical role at a data platform, analytics, or AI company, as a Solutions Architect, Solutions Engineer, Sales Engineer, or technical Account Executive
Direct evidence of revenue ownership; carried a quota or served as the named technical owner on deals that can be sized and described
Hands-on engineering within the last three years
Ability to write SQL and Python
Experience shipping pipelines with dbt, Airflow, or an equivalent
Experience debugging something in production
Working depth on Snowflake or Databricks, and fluency in the other
Ability to be credible with both a CDO and a staff engineer
Ability to sell scope and outcomes rather than licenses and features
Resume and all application materials must be in English

Benefits

Comp & perks

Base salary plus variable tied to what you sell and what reaches production
A book you actually own, including the PE channel and existing accounts with room to expand
Engagements across industries and stacks rather than one platform for the next three years
A builder culture where the people closest to the work make the calls
Certification support across Snowflake, Databricks, AWS, GCP, and Azure
Remote-first work arrangement
Client travel when the engagement justifies it