Field CTO

Aimpoint Digital

. Own the technical portion of pursuits from first client conversation through signed engagement and transition to delivery .

Posted 11/10/2026full-timeRemote • Georgia • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in data engineering and solution architecture, with a strong focus on designing and implementing complex data platforms and architectures for Fortune 500 clients. Proficient in leading technical discovery, defining strategic roadmaps, and delivering impactful solutions across various cloud environments.

Highest-signal resume keywords

Data EngineeringSolution ArchitectureDatabricks ExpertiseSnowflake ExpertiseTechnical Consulting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PipelinesOrchestrationData ModelingDistributed ProcessingSQLPythonLakehouse ArchitectureWarehouse ArchitectureBI ToolsCustom Application Design

Soft Skills

Exceptional CommunicationStakeholder EngagementDefending Recommendations

Tools & Technologies

AzureAWSGCPAnthropicSigmaOmni

Certifications & Qualifications

Databricks CertificationSnowflake Certification

Industry Keywords

Enterprise Sales CyclesProfessional ServicesSystems IntegrationTechnical Pre-SalesStrategic Transformation

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSnowflakeSparkSQLUnity

About the role

Key responsibilities & impact

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 defend recommendations to executive leadership
Design architectures for new platforms, migrations, modernization programs, and complex data workloads across Databricks, Snowflake, Anthropic, Sigma, Omni, 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 supporting BI, self-service analytics, ML, GenAI, RAG, and agentic AI use cases
Design BI tools, custom applications, and bidirectional SaaS integrations
Define AI governance implementation approaches covering people, process, security, and tools
Translate technical requirements into project scope, delivery phases, assumptions, risks, resource plans, and estimates
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
Create reusable pre-sales materials, demo environments, reference architectures, discovery frameworks, solution patterns, technical content, and estimation models
Work 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
Represent Aimpoint externally through client briefings, events, and published points of view on data and AI architecture
Share field learnings with sales, consulting, and alliance teams to improve offerings and delivery

Requirements

What you’ll need

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
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
Certifications in Databricks, Snowflake, or the major cloud providers preferred
Willingness to travel roughly once every one to two months for client meetings, workshops, and events

Benefits

Comp & perks

Willingness to travel roughly once every one to two months for client meetings, workshops, and events