Principal Solutions Architect – Databricks

Blue Orange Digital

Principal Solutions Architect owning Databricks architecture and delivery for Blue Orange Digital, a data engineering and AI consultancy. Building the Databricks partnership, leading enterprise engagements, and scaling internal certification and architecture practices.

Posted 8/17/2026full-timeRemote • 🇺🇸 United StatesLead💰 $245,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in Databricks architecture and data engineering, with a strong focus on Delta Lake, Unity Catalog, and Spark optimization. Proven ability to lead technical discovery, manage client relationships, and drive successful large-scale migrations.

Highest-signal resume keywords

Databricks ArchitectureDelta Lake OptimizationUnity Catalog GovernanceSpark Performance TuningTechnical Discovery Leadership

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringData ArchitecturePlatform EngineeringSolutions ArchitectureInfrastructure-as-CodeDelta Live TablesMLflowMosaic AIPhoton Cost BenefitsHadoop Migration

Soft Skills

Executive CommunicationKnowledge TransferTeam Leadership

Tools & Technologies

DatabricksAWSAzureGCPSpark UIDatabricks Workflows

Industry Keywords

Technical DiscoveryProposal ArchitectureCompetitive EvaluationsData + AI SummitPartner Ecosystem

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformHadoopSparkUnity

About the role

Key responsibilities & impact

Lead technical discovery on Databricks opportunities and run architecture sessions with client engineering and data leadership
Design Lakehouse reference architectures covering Delta Lake, Unity Catalog, workflow orchestration, and Mosaic AI
Own 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 demonstrating working code
Serve as technical authority in competitive evaluations against Snowflake, Microsoft Fabric, and in-house Spark platforms
Partner with Sales on qualification and identify opportunities where Databricks is not the right solution
Act as lead architect on major Databricks engagements from kickoff through production handoff
Set technical direction for engagement teams of three to six engineers and review designs and code
Resolve Spark performance, Delta Lake optimization, Unity Catalog migration and governance, cost, and streaming architecture problems
Drive knowledge transfer so client teams can operate delivered systems independently
Own strategic-account escalations and keep executive stakeholders informed
Serve as primary technical relationship owner with Databricks field, partner, and product teams
Build and run the Databricks co-sell motion and support Databricks-sourced opportunities
Drive partner tier advancement and Brickbuilder specialization roadmap
Represent Blue Orange Digital at Data + AI Summit, partner enablement sessions, and regional Databricks events
Produce technical marketing including reference architectures, benchmarks, case studies, and conference talks
Build internal enablement and certification programs for engineers
Report to the Head of Delivery and work directly with the CEO and Head of Sales on partnership strategy

Requirements

What you’ll need

Eight or more years in data engineering, data architecture, or platform engineering
At least four years architecting on Databricks in production environments
Solutions Architect-level depth on Databricks
Ability to design multi-workspace Unity Catalog governance models
Ability to explain Photon cost benefits, diagnose skewed joins from Spark UI, and reason about Delta Lake file layout and liquid clustering
Hands-on command of Spark, Delta Lake, Unity Catalog, Databricks Workflows, Delta Live Tables, MLflow, and Mosaic AI
Fluency in at least one major cloud: AWS, Azure, or GCP
Infrastructure-as-code experience
Demonstrated pre-sales experience leading technical discovery, authoring proposal architecture, and winning competitive deals
Enterprise delivery track record, including at least one large-scale migration to Databricks from a legacy warehouse, Hadoop, or homegrown Spark platform
Executive communication skills
Experience working with or inside a technology partner ecosystem
Willingness to travel roughly 25 percent for client work, partner meetings, and industry events
Background checks may be required for certain positions/projects

Benefits

Comp & perks

Partnership performance bonus tied to Databricks-sourced pipeline and closed revenue
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