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About the Role

This is a seller-doer role where you will own the technical sale and help deliver the work. You will translate ambiguous business problems into scoped solutions across Data Platform Modernization, AI/ML Implementation, Analytics and BI, and Data Strategy. You will lead discovery, shape architecture, build proposals, and carry the technical narrative to win deals. Post-sale, you will set technical direction, guide initial phases, and remain the trusted architect. Success is measured by both sales and delivery contributions.

Responsibilities

Lead technical discovery with prospects to uncover problems and qualify fit.
Translate client needs into reference architectures, solution approaches, and phased delivery plans on Snowflake, Databricks, AWS, GCP, and Azure.
Partner with sales to build proposals and Statements of Work, scope team composition and timelines, and present the technical case to stakeholders.
Carry a sales quota, drive pipeline, advance deals through technical validation, and close.
Defend the company's approach against alternatives with credible, technical answers.
Set the technical direction for engagements and guide delivery teams through architecture decisions and initial phases.
Write and review production-grade code.
Contribute hands-on to client work to meet delivery or utilization targets.
Surface new opportunities within accounts and grow engagements.
Uphold delivery standards including code review, testing, documentation, and clean handoff.

Requirements

8 to 12 years in data engineering, ML, cloud data platforms, or analytics with production experience.
Track record in a seller-doer, pre-sales solution architect, or consulting delivery lead role.
Hands-on, production depth on Databricks (Lakehouse, Delta Lake, Unity Catalog, MLflow, Spark).
Working knowledge of Snowflake and at least one cloud (AWS, GCP, or Azure).
Working knowledge of modern data tooling (dbt, Airflow, Python, SQL).
Ability to lead discovery calls with CTOs and whiteboard sessions with engineers.
Experience scoping engagements, writing proposals or SOWs, and presenting solutions.
Clear communication, end-to-end ownership, and thriving in ambiguous, client-facing situations.

Skills

Databricks
Lakehouse
Delta Lake
Unity Catalog
MLflow
Spark
Snowflake
AWS
GCP
Azure
dbt
Airflow
Python
SQL
GenAI
ML

Location

Remote - United States

Work Type

Full-time
Remote

Experience Level

8-12 years

Education Level

Cloud certifications (Snowflake, Databricks, AWS, GCP, or Azure) are a plus.

Salary/Compensations

Commission Uncapped
Accelerators kick in above 100% quota attainment
Activity bonuses for pipeline milestones
Sales threshold performance bonuses

Benefits

Medical, dental, vision, and life insurance
Retirement 401(k) with company matching
All conference, event, client visit, and per diem expenses covered

About the Company

Blue Orange Digital offers the opportunity to own the full arc of work, from shaping and selling to seeing it through.
It is a builder-led culture where engineers lead and work directly with tier-one clients on real technology across Snowflake, Databricks, AWS, GCP, and Azure.
The company provides high talent density, real ownership, and room for growth.

Equal Opportunity

Blue Orange Digital is an equal-opportunity employer.
Background checks may be required for certain positions/projects.