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About the Role

This is a seller-doer role where you will own the technical sale and then help deliver the sold work. You will translate ambiguous business problems into scoped solutions across Data Platform Modernization, AI and ML Implementation, Analytics and BI, and Data Strategy. You will lead discovery, shape architecture, build proposals, and carry the technical narrative to win deals. After closing, you will set technical direction, guide the delivery team, and remain the trusted architect for the client. This role fuses technical sales and solution architecture with a builder mandate, allowing you to architect across multiple vendors and cloud platforms, carry a quota, and deliver production-grade code.

Responsibilities

Lead technical discovery with prospects to uncover problems and qualify fit.
Translate client needs into reference architectures, solution approaches, and phased delivery plans.
Partner with sales to build proposals and Statements of Work, scope team composition and timelines, and present the technical case.
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 the delivery team through architecture decisions and initial phases.
Write and review production-grade code where it matters, leading by shipping.
Contribute hands-on to client work to meet delivery or utilization targets.
Surface new opportunities within existing accounts and grow engagements.
Uphold delivery standards for code review, testing, documentation, and clean handoff.

Requirements

Proven, hands-on experience in data engineering, ML, cloud data platforms, or analytics with shipped production systems.
Track record in a seller-doer, pre-sales solution architect, or consulting delivery lead role with quota carrying and delivery experience.
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
Snowflake
AWS
GCP
Azure
dbt
Airflow
Python
SQL
Data Engineering
ML
Cloud Data Platforms
Analytics
GenAI
ML use cases

Location

Fully remote within the United States

Work Type

Full-time
Remote

Experience Level

8+ years (preferred, but demonstrated ability is key)

Salary/Compensations

Base: $150K to $180K
On-target earnings: $260K to $320K
Uncapped commission
Accelerators above 100% quota attainment

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
401(k) with company matching
All conference, event, client visit, and per diem expenses covered

About the Company

Blue Orange Digital is a boutique data and AI consultancy delivering enterprise-grade results.
They design and build modern data platforms, analytics, and ML and AI agent solutions for mid-market and enterprise clients.
Client industries include Private Equity, Financial Services, Healthcare, and Retail.
Teams work with technologies like Databricks, Snowflake, dbt, and the Microsoft ecosystem.
They focus on turning data into actionable insight and shipping production-grade systems.
It is a builder-led, client-first team that prizes ownership, clear communication, and high-impact work.

Equal Opportunity

Blue Orange Digital is an equal-opportunity employer.
They welcome and evaluate all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other protected characteristic.
They are committed to an inclusive hiring process and will provide reasonable accommodation to candidates who need it.
Background checks may be required for certain positions or projects.