Field CTO

🔥 6 minutes ago

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $260k - $275k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👨‍💼 Chief Technology Officer (CTO)

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• 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, and hands-on labs • 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 critical 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 capabilities • Turn successful engagements into 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 • Align technical investments with client demand and joint Databricks opportunities • Represent Blend in client workshops, partner discussions, and industry events

🎯 Requirements

• 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

• 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

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