Field CTO

Field CTO

Aimpoint Digital is a market-leading data, AI, and analytics consulting firm. We help organizations design, build, and operationalize modern data platforms, analytics solutions, and production AI applications.

We work across Databricks, Snowflake, Anthropic, and other leading platforms, and we are expanding our pre-sales solutions organization. We are seeking a Field CTO to help shape and win complex data and AI consulting engagements.

About the Role

As Field CTO, you will build deep client relationships and own the technical portion of the sales cycle end-to-end for our largest and most strategic opportunities, from initial discovery through solution design, scoping, proposal development, technical validation, and handoff to delivery. You will also act as the senior technical voice with executive clients, helping them decide where and how to invest in data and AI.

You will partner directly with our key clients, as well as with sales, alliance, and delivery teams to understand client needs, design the right technical solution, and translate that solution into a credible and executable consulting engagement.

This role is designed for someone who has done similar work in a consulting or professional services environment. You know how to move from an ambiguous client problem to a clear architecture, delivery approach, team structure, estimate, and statement of work. You are also comfortable working above the level of a single project, defining roadmaps for strategic transformation programs at Fortune 500 clients.

You will work across platform deployment and infrastructure, migrations, data engineering, data science, AI, and the human interfaces on top of them, including BI tools, custom applications, and bidirectional integrations with SaaS platforms. Your technical depth should be strongest in data and platform engineering, with a strong understanding of how modern data architectures support downstream analytics and AI.

You will be expected to define solutions on any platform we work with. Cloud provider solutions on AWS, Azure and GCP, Data platforms including Databricks, Snowflake, AI and ML implementations leveraging Anthropic and OpenAI, and front end facing tools like Sigma, Omni, and other BI tools.

What You Will Do

• Own the technical portion of pursuits from first client conversation through signed engagement and transition to delivery.
• Lead technical discovery with client engineering, architecture, data, analytics, AI leaders, and C-suite stakeholders.
• Define roadmaps for strategic transformation opportunities across Fortune 500 clients, and make and defend recommendations to executive leadership.
• Design architectures for new platforms, migrations, modernization programs, and complex data workloads on Databricks, Snowflake, and Anthropic, and on Sigma, Omni, and other BI tools, across and including Azure, AWS, and GCP.
• Define lakehouse, warehouse, and medallion architectures across bronze, silver, gold, and downstream consumption layers.
• Solution data ingestion, transformation, orchestration, governance, security, platform deployment, infrastructure, and semantic layer patterns.
• Design data foundations that support BI, self-service analytics, ML, GenAI, RAG, and agentic AI use cases.
• Design the human interfaces on top of the platform, including BI tools, custom applications, and bidirectional integrations with SaaS platforms.
• Define AI Governance implementation approaches covering people, process, security and tools to support them.
• Translate technical requirements into project scope, delivery phases, assumptions, risks, resource plans, and estimates, including outcome-based and multi-phase engagements.
• Partner with sales and delivery leaders to develop proposals and statements of work.
• Build and deliver technical demos, proofs of concept, architecture workshops, and solution presentations that help clients understand and validate the proposed approach.
• Create reusable pre-sales materials, including demo environments, reference architectures, discovery frameworks, solution patterns, technical content, and estimation models.
• Work directly with Databricks, Snowflake, Anthropic, and other partner account teams and solution architects on joint pursuits and co-sell opportunities.
• Ensure clean handoffs from pre-sales into delivery so project teams inherit clear architecture, scope, assumptions, and client context.
• Represent Aimpoint externally through client briefings, events, and published points of view on data and AI architecture.
• Bring what you learn in the field back to our sales, consulting, and alliance teams to sharpen our offerings and help the wider team sell and deliver.

Who We Are Looking For

• We are looking for a strong consulting technologist who combines strategic thinking, business analysis, and deep technical experience with client presence and commercial judgment.
• You have likely worked in a consulting, systems integrator, or professional services organization where you owned or played a major role in complex data and AI platform pursuits. You are comfortable entering a sales cycle early, leading discovery, challenging assumptions, whiteboarding architecture, building demos, estimating delivery effort, and helping turn a technical solution into a signed engagement.
• You have enough hands-on engineering experience to earn credibility with technical teams, while being able to simplify complex concepts for data leaders and the C-suite. You are confident making a recommendation in front of an executive audience and defending it when challenged.
• You understand that strong pre-sales work is not about designing the most sophisticated architecture. It is about identifying the right solution, demonstrating that it will work, building client confidence, and creating an engagement that the delivery team can execute successfully.
• You are a team player and a good culture fit, and you enjoy working side by side with our consulting and sales teams.

Qualifications

• 10+ years of experience in data engineering, platform engineering, solution architecture, technical consulting, or related roles.
• Significant experience in consulting, professional services, systems integration, or technical pre-sales.
• Demonstrated experience owning the technical workstream of complex enterprise sales cycles, ideally with Fortune 500 clients.
• Strong architecture and implementation experience on Databricks and Snowflake in enterprise environments, with working knowledge of Anthropic’s platform for AI and agentic use cases.
• Deep knowledge of modern data engineering, including Spark, SQL, Python, data pipelines, orchestration, data modeling, and distributed processing.
• Strong understanding of lakehouse and warehouse architecture, medallion patterns, Unity Catalog, Delta Lake, governance, and security.
• Experience with data platform or warehouse migrations.
• Understanding of semantic layers, analytics architectures, BI tools such as Sigma and Omni, and how enterprise data platforms support AI and ML workloads.
• Working knowledge of Azure, AWS, and GCP, including platform deployment and infrastructure.
• Experience designing custom applications and bidirectional integrations with SaaS platforms.
• Expert-level experience leading client discovery, architecture workshops, solution design, demos, estimation, and SOW scoping, including outcome-based and multi-phase projects.
• Experience defining roadmaps for strategic transformation programs at large enterprises, ideally Fortune 500 clients.
• Exceptional communication skills across engineers, architects, data leaders, and the C-suite, including the ability to make a recommendation and defend it under challenge.
• Willingness to travel roughly once every one to two months for client meetings, workshops, and events.
• Certifications in Databricks, Snowflake, or the major cloud providers preferred.