Databricks Field CTO

Blend360•Columbia, MD

1d•$260,000 - $275,000

About The Position

As Blend’s Databricks Field CTO, you will help grow its Databricks business across North America through executive advisory, technical pre-sales, and architecture leadership. You will partner with Blend Client Partners, Business Development leaders, and Databricks field teams to identify opportunities, shape engagements, and help clients turn data and AI ambitions into production solutions. You will serve as a senior technical authority for Databricks engagements, guiding platform decisions and helping delivery teams address complex architecture, integration, governance, and operational challenges. You will collaborate with global architects, data engineers, and AI practitioners to establish standards, strengthen technical capabilities, and develop reusable solutions and accelerators. The role calls for technical credibility, commercial judgment, and the ability to work with engineers, client executives, and delivery teams. The starting pay range is $250,000–$300,000. Actual compensation depends on factors including relevant experience, skills, certifications, training, and location; the posting also lists compensation of USD 260,000–USD 275,000 yearly. Blend360 offers a competitive benefits program, with benefits varying by role and eligibility.

Requirements

15+ years of experience in data, platform, or cloud architecture, including at least five years focused on Databricks, modern data platforms, or related solution engineering and technical pre-sales.
Deep hands-on Databricks experience and 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 designing 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.
Background in consulting, professional services, or an embedded technology partner role.

Nice To Haves

Relevant Databricks professional certifications, including data engineering, machine learning, or generative AI.
Experience with enterprise governance, data sharing, federation, and open table formats.
Familiarity with Databricks partner programs, Marketplace, and developing repeatable industry solutions.
Experience establishing technical communities, mentoring senior practitioners, and developing reusable delivery assets.

Responsibilities

Partner with Client Partners and Business Development leaders to shape Databricks opportunities through discovery, proposals, architecture workshops, demonstrations, and hands-on labs.
Translate client priorities into solution architectures, delivery roadmaps, effort estimates, and defined business outcomes.
Design architectures for lakehouse modernization, batch and streaming data engineering, analytics, machine learning, and generative and agentic AI.
Establish approaches for governance, security, data quality, interoperability, performance, and cost management.
Work with Databricks account teams, Solutions Architects, and specialists to develop joint solutions and support co-sell opportunities.
Guide critical architecture decisions and validate solutions against enterprise-scale, reliability, security, and operational requirements.
Help teams resolve challenges involving data pipelines, cloud infrastructure, integrations, governance, and production AI systems.
Maintain continuity from pre-sales through delivery so scope, assumptions, architecture decisions, and success criteria are understood.
Provide hands-on support for strategic proofs of concept, reference implementations, architecture reviews, and delivery escalations.
Help clients move solutions from experimentation to production with appropriate evaluation, monitoring, deployment, and support practices.
Establish architecture standards, reusable patterns, accelerators, and delivery guidance across Blend’s global teams.
Mentor architects and engineers, support technical hiring, and help build Blend’s Databricks community.
Coordinate with Databricks counterparts on technical enablement, certifications, and emerging platform 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, platform modernization, and adoption priorities.
Explain architectural tradeoffs in terms of business value, implementation effort, cost, risk, and time to value.
Partner with Blend practice and alliance leaders to align technical investments with client demand and joint Databricks opportunities.
Represent Blend in client workshops, partner discussions, and relevant industry events.