Databricks Field CTO - AI & Data Platform Leader

Blend; Columbia (MD); On-site; USD 260,000 - 275,000; Full time

Job summary

Blend360 is seeking a Databricks Field CTO to grow our Databricks business in North America, combining executive advisory, pre-sales, and architecture leadership. You will guide platform decisions and work with client partners and delivery teams to translate data and AI ambitions into production solutions.

You will mentor architects, shape engagements, and develop reusable accelerators while collaborating with Databricks field teams and Blend clients to drive value and governance across

Qualifications

• 15+ years of experience in data, platform, or cloud architecture, including at least five years focused on Databricks.
• Deep hands-on Databricks experience, with a track record of designing and delivering enterprise production solutions.
• Strong expertise in Apache Spark, Delta Lake, Unity Catalog, Databricks SQL, and batch and streaming architectures, with practical Python and SQL skills.
• Experience with Databricks data engineering and orchestration capabilities, including Lakeflow, and the design of reliable, governed data pipelines.
• Hands-on experience designing and delivering AI and agentic solutions on Databricks, using capabilities such as Agent Bricks, Mosaic AI Model Serving, Vector Search, and Genie for document retrieval, conversational analytics, and business workflow automation.
• Experience connecting agents to enterprise data, tools, and APIs through MCP and Unity Catalog functions, with appropriate identity, permissions, and governance.
• Experience taking AI solutions into production, including MLflow evaluation and tracing, deployment through Databricks Apps or serving endpoints, and security, monitoring, and cost controls through Unity Catalog and Unity Gateway.
• Strong cloud architecture experience on AWS, Microsoft Azure, or Google Cloud, including identity, networking, storage, security, and deployment automation.
• Experience leading data platform migrations or modernization programs, including architecture, workload transition, performance, and cost considerations.
• 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.
• A background in consulting, professional services, or an embedded technology partner role.
• Preferred: Certifications in Databricks data engineering, ML, or generative AI.

Responsibilities

• Shape Databricks opportunities with client partners and BD leaders, including discovery and architecture workshops.
• Translate client priorities into solution architectures, roadmaps, estimates, and outcomes.
• Design architectures spanning lakehouse modernization, batch/streaming, analytics, ML, and agentic AI.
• Establish governance, security, data quality, interoperability, performance, and cost controls.
• Work with Databricks teams to develop joint solutions and co-sell opportunities.
• Guide architecture decisions for enterprise-scale reliability, security, and operations.
• Resolve data pipelines, cloud infra, governance, and production AI challenges.
• Maintain continuity from pre-sales through delivery with clear scope and decisions.
• Provide hands-on support for proofs of concept, reference implementations, and escalations.
• Help clients move from experimentation to production with evaluation, monitoring, and deployment practices.
• Establish architecture standards, reusable patterns, accelerators, and delivery guidance.
• Mentor architects and engineers, support technical hiring, and build a Databricks community.
• Coordinate with Databricks on enablement, certifications, and platform capabilities.
• Turn engagements into repeatable offerings, demos, case studies, and thought leadership.
• Advise client CTOs/CIOs/CDOs on data strategy and modernization.
• Explain architectural tradeoffs in business value, cost, risk, and time to value.
• Partner with practice/alliance leaders to align investments with client demand.
• Represent Blend in client workshops, partner discussions, and industry events.

Skills

Databricks expertise

Enterprise architecture

Cloud architecture

Pre-sales leadership

Executive communication

Python

Tools

Databricks

Apache Spark

Delta Lake

Unity Catalog

Databricks SQL

Lakeflow

Mosaic AI

Agent Bricks

Genie

Vector Search

Job description

Blend360 is seeking a Databricks Field CTO to grow our Databricks business in North America, combining executive advisory, pre-sales, and architecture leadership. You will guide platform decisions and work with client partners and delivery teams to translate data and AI ambitions into production solutions.

You will mentor architects, shape engagements, and develop reusable accelerators while collaborating with Databricks field teams and Blend clients to drive value and governance across