Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.
Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.
We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.
Note: Please submit your resume in English, as all application materials must be in English for review and consideration.
About the RoleThis is a true seller-doer role. You own the technical sale and then help deliver the work you sold. You will sit at the front of the engagement, translating ambiguous business problems into scoped, credible solutions across our service lines: Data Platform Modernization, AI/ML Implementation, Analytics and BI, and Data Strategy. You will lead discovery, shape the architecture, build the proposal, and carry the technical narrative that wins the deal.
Once the deal closes, you stay involved. You set the technical direction for the engagement, guide the delivery team through the first critical phases, and remain the trusted architect the client turns to. That dual mandate is how you land new accounts and expand existing ones. You are measured on both what you sell and what you deliver.
You will work directly with CTOs, VPs of Engineering, and CDOs, and pair with our practice leads and senior engineers. This role reports into leadership and works closely with both the sales and delivery organizations.
What You Will DoSell (Pre-Sales and Technical Sales)Lead discovery: run technical discovery with prospects, uncover the real problem, and qualify fit against our service lines.
Architect the solution: translate client needs into reference architectures, solution approaches, and phased delivery plans on Snowflake, Databricks, AWS, GCP, and Azure.
Own the technical narrative: partner with sales to build proposals and Statements of Work, scope team composition and timelines, and present the technical case to executive and engineering stakeholders.
Hit the number: carry a sales quota. Drive pipeline alongside the sales team, advance deals through technical validation, and close.
Handle objections: defend BOD's builder-led approach against offshore, Big Four, and in-house alternatives with credible, technical answers.
Own the architecture: set the technical direction for engagements you sell, and guide the delivery team through architecture decisions and the first critical phases.
Stay hands-on: write and review production-grade code where it matters. You lead by shipping, not by managing from a distance.
Deliver against a target: carry a delivery or utilization target. Your role blends selling with billable, hands-on contribution to client work.
Land and expand: stay close to accounts you win, surface new opportunities, and grow engagements from an initial project into a lasting relationship.
Protect quality: uphold BOD delivery standards: code review, testing, documentation, and clean handoff.
Deep technical background: 8 to 12 years in data engineering, ML, cloud data platforms, or analytics, with real production experience. You have shipped systems, not just designed them.
Sales and delivery experience: a track record in a seller-doer, pre-sales solution architect, or consulting delivery lead role. You have carried a number and delivered the work.
Databricks expertise (required): hands-on, production depth on Databricks (Lakehouse, Delta Lake, Unity Catalog, MLflow, Spark) is required. Working knowledge of Snowflake and at least one cloud (AWS, GCP, or Azure), plus modern data tooling (dbt, Airflow, Python, SQL).
Executive and technical fluency: you can lead a discovery call with a CTO and a whiteboard session with their engineers, and be credible in both rooms.
Proposal and scoping ability: experience scoping engagements, writing proposals or SOWs, and presenting solutions that win.
Builder mentality: you communicate clearly, own outcomes end to end, and thrive in ambiguous, client-facing situations.
Consulting pedigree: consulting or agency background with client-embedded delivery.
Cloud certifications: current certifications on Snowflake, Databricks, AWS, GCP, or Azure.
AI/ML depth: experience taking GenAI or ML use cases from concept to production.
Land-and-expand record: prior success growing a single project into a multi-workstream account.
Vertical expertise: depth in one or more verticals such as fintech, healthcare, retail, or SaaS.
This role carries a blended target. You are accountable for a sales quota tied to bookings and pipeline you help create and close, and for a delivery or utilization target tied to the billable, hands-on work you contribute to client engagements. Landing new logos and expanding existing accounts count on both sides of the ledger.
Own the full arc: you shape the work, sell it, and see it through. No handing off to a team that inherits a promise you cannot keep.
Builder-led culture: engineers lead here. You will not spend your days defending decisions to people who have never shipped.
Real technology: direct, hands-on work across Snowflake, Databricks, AWS, GCP, and Azure with tier-one clients.
Room to build: high talent density, real ownership, and the room to grow an account and your own practice.
Commission Uncapped. Accelerators kick in above 100% quota attainment.
Bonuses: Activity bonuses for pipeline milestones and sales threshold performance bonuses.
Medical, dental, vision, and life insurance
Retirement 401(k) with company matching
Events & Travel: All conference, event, client visit, and per diem expenses covered
Location: Remote - United States
Background checks may be required for certain positions/projects.
Blue Orange Digital is an equal-opportunity employer.
Skills Required
- 8 to 12 years in data engineering, ML, cloud data platforms, or analytics with production experience
- Deep Databricks expertise (Lakehouse, Delta Lake, Unity Catalog, MLflow, Spark)
- Working knowledge of Snowflake
- Working knowledge of at least one cloud platform: AWS, GCP, or Azure
- Experience with modern data tooling: dbt, Airflow, Python, SQL
- Proven pre-sales / seller-doer or consulting delivery lead experience and quota-carrying history
- Ability to scope engagements, write proposals and Statements of Work
- Executive and technical communication fluency; run CTO-level discovery and engineer whiteboards
- Hands-on ability to write and review production-grade code and uphold delivery standards
- Builder mentality: ownership of outcomes and comfort with ambiguous, client-facing situations
- Consulting or agency background with client-embedded delivery
- Cloud certifications (Snowflake, Databricks, AWS, GCP, or Azure)
- Experience taking GenAI or ML use cases from concept to production
- Proven land-and-expand record growing accounts
- Vertical expertise in fintech, healthcare, retail, or SaaS
Blue Orange Digital Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blue Orange Digital and has not been reviewed or approved by Blue Orange Digital.
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Healthcare Strength — Health coverage is described as comprehensive across medical, dental, and vision in current job postings, with some descriptions indicating particularly strong plan generosity. This points to a solid core insurance foundation for U.S.-based roles.
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Retirement Support — Current role descriptions consistently include a 401(k) with company match. This adds long‑term financial value to the overall package.
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Leave & Time Off Breadth — Certain postings specify unlimited PTO along with paid parental and bereavement leave. This breadth of time‑off options supports flexibility for varied life events.
Blue Orange Digital Insights
What We Do
Blue Orange is a data science and machine learning consulting and development firm. We build modern data warehousing to support machine learning and AI. We help companies integrate these insights to drive data-driven decision making.








