Field CTO

Blend360

. Grow Blend’s Databricks business across North America through executive advisory, technical pre-sales, and architecture leadership .

Posted 11/10/2026full-timeRemote • Maryland • United StatesSeniorLead💰 $260,000 - $275,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Databricks architecture, including hands-on experience with data engineering, AI solutions, and cloud platforms. Capable of translating client needs into effective solution architectures while mentoring teams and driving technical enablement.

Highest-signal resume keywords

Databricks ArchitectureApache SparkData EngineeringAI Solutions DeliveryCloud Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Databricks SQLPythonSQLLakeflowMosaic AI Model ServingVector SearchMLflowData Pipeline DesignBatch and Streaming ArchitecturesEnterprise Governance

Soft Skills

MentoringClient EngagementCollaborationAdvisory SkillsCommunication

Tools & Technologies

AWSMicrosoft AzureGoogle CloudUnity CatalogAgent BricksMCP

Certifications & Qualifications

Databricks Data Engineering CertificationDatabricks Machine Learning CertificationGenerative AI Certification

Industry Keywords

Data ModernizationCloud ArchitectureTechnical Pre-SalesEnterprise SolutionsProfessional Services

Tech Stack

Tools & technologies

ApacheAWSAzureCloudPythonSparkSQLUnity

About the role

Key responsibilities & impact

Grow Blend’s Databricks business across North America through executive advisory, technical pre-sales, and architecture leadership
Partner with Client Partners, Business Development leaders, and Databricks field teams to identify opportunities and shape engagements
Support discovery, proposals, architecture workshops, demonstrations, hands-on labs, and co-sell opportunities
Translate client priorities into solution architectures, delivery roadmaps, effort estimates, and business outcomes
Design architectures for lakehouse modernization, batch and streaming data engineering, analytics, machine learning, generative AI, and agentic AI
Establish approaches for governance, security, data quality, interoperability, performance, and cost management
Guide architecture decisions and validate solutions against enterprise scale, reliability, security, and operational requirements
Resolve complex challenges across data pipelines, cloud infrastructure, integrations, governance, and production AI systems
Maintain continuity from pre-sales through delivery
Provide hands-on support for proofs of concept, reference implementations, architecture reviews, and delivery escalations
Help clients move AI solutions from experimentation to production
Establish architecture standards, reusable patterns, accelerators, and delivery guidance across global teams
Mentor architects and engineers, support technical hiring, and build Blend’s Databricks community
Coordinate with Databricks counterparts on technical enablement, certifications, and emerging platform capabilities
Develop repeatable offerings, demonstrations, case studies, and thought leadership
Advise client CTOs, CIOs, CDOs, and business leaders on data and AI strategy and platform modernization
Explain architectural tradeoffs in terms of business value, effort, cost, risk, and time to value
Represent Blend in client workshops, partner discussions, and industry events

Requirements

What you’ll need

15+ years of experience in data, platform, or cloud architecture
At least five years focused on Databricks, modern data platforms, or related solution engineering and technical pre-sales
Deep hands-on Databricks experience designing and delivering enterprise production solutions
Strong expertise in Apache Spark, Delta Lake, Unity Catalog, Databricks SQL, and batch and streaming architectures
Practical Python and SQL skills
Experience with Databricks data engineering and orchestration capabilities, including Lakeflow
Experience designing reliable, governed data pipelines
Hands-on experience designing and delivering AI and agentic solutions on Databricks, including Agent Bricks, Mosaic AI Model Serving, Vector Search, and Genie
Experience connecting agents to enterprise data, tools, and APIs through MCP and Unity Catalog functions
Experience taking AI solutions into production, including MLflow evaluation and tracing, Databricks Apps or serving endpoints, security, monitoring, and cost controls
Strong cloud architecture experience on AWS, Microsoft Azure, or Google Cloud
Experience leading data platform migrations or modernization programs
Demonstrated success working alongside sales teams and engaging directly with senior client executives
Experience collaborating with Databricks field teams on joint opportunities and technical solution development
Background in consulting, professional services, or an embedded technology partner role
Relevant Databricks professional certifications, including data engineering, machine learning, or generative AI (preferred)
Experience with enterprise governance, data sharing, federation, and open table formats (preferred)
Familiarity with Databricks partner programs, Marketplace, and repeatable industry solutions (preferred)
Experience establishing technical communities, mentoring senior practitioners, and developing reusable delivery assets (preferred)

Benefits

Comp & perks

Medical, dental, and vision coverage
401(k) plan
Paid time off
Paid holidays
Commuter benefits
Flexible spending accounts
Life and disability insurance
Employee assistance programs