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Full-time
professional certificate
Competitive base salary, Performance bonus, Professional development budget, Certification support, Unlimited Paid Time Off, Paid parental leave
Posted 26d ago
~40 hrs/week
Remote in Miami, Florida, United States, New York, New York, United States, Philadelphia, Pennsylvania, United States, Seattle, Washington, United States
Responsibilities
The Principal Solutions Architect will lead technical discovery, design Lakehouse architectures, and manage the Databricks partnership strategy. They will also serve as the lead architect on major client engagements, overseeing technical delivery and team performance.
Requirements
Candidates must have over eight years of experience in data engineering or architecture, with at least four years specifically on the Databricks platform. Strong expertise in Spark, Delta Lake, and Unity Catalog, along with proven pre-sales and executive communication skills, is required.
Full job description
Company overview:
Blue Orange Digital is a data engineering and AI consultancy that builds production-grade data platforms, ML systems, and analytics solutions for companies that take their data seriously. We are not a staff augmentation shop or a slide-deck consultancy. We are builders. Our teams embed directly into client engineering organizations, shipping code alongside their engineers to accelerate delivery and build lasting capability.
Our clients include Fortune 500 enterprises and high-growth startups across industries. We partner with Databricks, Snowflake, AWS, GCP, and Azure to deliver battle-tested solutions that drive measurable ROI.
About the Role
We are hiring the person who owns Databricks at Blue Orange Digital. Not a portion of it. All of it.
This role sits at the intersection of three things most companies split across three people. You architect the solution in the room with the prospect, you lead the build on the accounts that matter most, and you own the relationship with Databricks itself. That combination is deliberate. Clients buy from the architect who will actually be on their engagement, and Databricks field teams co-sell with partners whose technical leads they trust. One person carrying all three closes the gap between what we promise in the sales cycle and what we ship in production.
Day to day, you sit in discovery calls and technical deep-dives translating messy business problems into Lakehouse architectures that hold up under scrutiny. You write the architecture sections of our proposals and defend them to client CTOs and platform teams. When a deal closes on a major account, you stay on it as lead architect through design and into production, then hand off a system the client’s team can run without us.
The partnership half of the job puts you in front of Databricks account executives, solutions architects, and partner managers across regions. You build the co-sell motion, drive our tier and specialization roadmap, and make Blue Orange Digital the partner Databricks reps call first when an account needs implementation help. You will also raise the Databricks bar across our engineering org through internal enablement, certification paths, and reusable architecture patterns.
You will report to our Head of Delivery and work directly with the CEO and Head of Sales on partnership strategy. This is a senior seat with real authority over a growing part of the business.
What You Will Do
Pre-Sales Solutions Architecture
Lead technical discovery on Databricks opportunities, running architecture sessions with client engineering and data leadership
Design Lakehouse reference architectures covering Delta Lake, Unity Catalog, workflow orchestration, and Mosaic AI, sized to the client’s data volume, governance posture, and cost constraints
Own the technical content in proposals and SOWs, including architecture diagrams, migration approach, team composition, and effort estimates
Run proof-of-concept builds and technical bake-offs that demonstrate working code, not slideware
Serve as the technical authority in competitive evaluations against Snowflake, Microsoft Fabric, and in-house Spark platforms, presenting trade-offs honestly rather than selling past the truth
Partner with Sales on qualification, flagging deals where Databricks is the wrong answer before we invest in a proposal
Delivery Leadership on Key Accounts
Act as lead architect on our largest Databricks engagements, staying accountable from kickoff through production handoff
Set the technical direction for engagement teams of three to six engineers, reviewing designs and code against Blue Orange Digital delivery standards
Resolve the hard problems: Spark performance tuning, Delta Lake optimization, Unity Catalog migration and governance design, cost runaway, and streaming architectures under real SLAs
Drive knowledge transfer so client teams operate what we build independently after handoff
Own escalations on strategic accounts and keep executive stakeholders informed with direct, unvarnished status
Databricks Channel Partnership Ownership
Serve as the primary technical relationship owner with Databricks field, partner, and product teams
Build and run the co-sell motion, generating partner-sourced pipeline and supporting Databricks-sourced opportunities end to end
Drive our partner tier advancement and Brickbuilder specialization roadmap, including the certification coverage and validated customer references each level requires
Represent Blue Orange Digital at Data + AI Summit, partner enablement sessions, and regional Databricks events
Produce technical marketing that earns credibility with the Databricks field: reference architectures, benchmarks, case studies, and conference talks
Build internal enablement so our engineers reach and maintain Databricks certification, and so every engagement team starts from proven patterns instead of a blank page
What You Bring
Eight or more years in data engineering, data architecture, or platform engineering, with at least four years architecting on Databricks in production environments
Solutions Architect level depth on the Databricks platform. You can whiteboard a multi-workspace Unity Catalog governance model, explain when Photon earns its cost, diagnose a skewed join from a Spark UI screenshot, and reason about Delta Lake file layout and liquid clustering under real workloads
Hands-on command of Spark, Delta Lake, Unity Catalog, Databricks Workflows, Delta Live Tables, MLflow, and Mosaic AI, plus fluency in at least one major cloud (AWS, Azure, or GCP) and infrastructure as code
Demonstrated pre-sales experience. You have led technical discovery, authored proposal architecture, and won deals against credible competition
Delivery track record on enterprise engagements, including at least one large-scale migration to Databricks from a legacy warehouse, Hadoop, or a homegrown Spark platform
Executive communication skills. You hold your own with a CTO on strategy in one meeting and pair with a platform engineer on a notebook in the next
Experience working with or inside a technology partner ecosystem, whether at a consultancy, an SI, or a cloud or data platform vendor
Willingness to travel roughly 25 percent for client work, partner meetings, and industry events
Nice to Haves
Databricks Solutions Architect Champion accreditation, or the Data Engineer Professional, ML Engineer Professional, or Platform Architect certifications
Prior experience at Databricks, or at a Gold or Platinum tier Databricks consulting partner
Track record building a partner practice from early stage to a named tier or specialization
Production GenAI and agent work on Databricks, including RAG systems, Vector Search, Model Serving, and agent evaluation
Snowflake depth alongside Databricks, so you can advise clients running both platforms
Public technical presence: conference talks, published reference architectures, open source contributions, or a following in the Databricks community
Vertical depth in PE, financial services, healthcare, retail, or manufacturing
How We Measure Success
First 90 days: Ramped on our active Databricks engagements, introduced to the Databricks partner team, leading technical discovery on live opportunities
First 6 months: Owning the architecture on our largest Databricks account, running a defined co-sell motion, internal certification program underway
First 12 months: Measurable partner-sourced pipeline, a documented advance on tier or specialization, and a Databricks practice that scales past any single person
Compensation
Base salary plus a partnership performance bonus tied to Databricks-sourced pipeline and closed revenue. We benchmark Principal-level architect compensation against the top of the consulting market and pay for the credential, not the title.
What We Offer
Competitive base plus a bonus directly tied to the partnership you build
Full ownership of a growing practice, with executive support and no layers between you and the decision-makers
Work on production Databricks problems at real enterprise scale, across industries
Builder culture where engineers lead and ship, and where architecture decisions are made by people who write code
Professional development budget with certification support, conference attendance, and speaking opportunities
Flexible remote work environment
Collaborative team that values production-grade craftsmanship over billable theater
Unlimited Paid Time Off (PTO)
Paid parental/bereavement leave
Background checks may be required for certain positions/projects.
Blue Orange Digital is an equal-opportunity employer.
Related keywords
DatabricksData EngineeringSolutions ArchitectLakehouseDelta LakeUnity CatalogSparkMosaic AIMLflowAWSAzureGCPInfrastructure as CodePre-salesConsultingCloud Computing
Blue Orange is a boutique agency specializing in data science, analytics, machine learning, and artificial intelligence. We help companies solve their big data and analytics problems and leverage the latest technologies in the space.
Offices: 750 Lexington Ave, 9th floor, New York, 10022, US · 201 N Union, Suite 110, Alexandria, Virginia 22314, US
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