Field CTO

This is a fully remote position, open to applicants in Georgia.

📋 Description

• Take ownership of the technical aspects of engagements from the initial client discussion to the signed agreement and transition to delivery.

• Guide technical discovery alongside client engineering, architecture, data, analytics, AI leaders, and C-suite executives.

• Create roadmaps for strategic transformation initiatives with Fortune 500 clients and advocate for recommendations to executive leadership.

• Architect solutions for new platforms, migrations, modernization efforts, and intricate data workloads using Databricks, Snowflake, Anthropic, Sigma, Omni, Azure, AWS, and GCP.

• Establish lakehouse, warehouse, and medallion architectures, including bronze, silver, gold, and downstream consumption layers.

• Develop solutions for data ingestion, transformation, orchestration, governance, security, platform deployment, infrastructure, and semantic layer patterns.

• Construct data foundations that support BI, self-service analytics, machine learning, generative AI, retrieval-augmented generation, and agentic AI applications.

• Design business intelligence tools, tailor-made applications, and bidirectional SaaS integrations.

• Formulate AI governance implementation strategies that encompass people, processes, security, and tools.

• Convert technical requirements into project scopes, delivery phases, assumptions, risks, resource plans, and estimates.

• Collaborate with sales and delivery leaders to craft proposals and statements of work.

• Create and present technical demonstrations, proofs of concept, architecture workshops, and solution presentations.

• Develop reusable pre-sales materials, demo environments, reference architectures, discovery frameworks, solution patterns, technical documentation, and estimation models.

• Partner with Databricks, Snowflake, Anthropic, and other partner account teams and solution architects on collaborative pursuits and co-sales opportunities.

• Ensure seamless transitions from pre-sales to delivery.

• Represent Aimpoint in external client briefings, events, and published insights on data and AI architecture.

• Share insights from the field with sales, consulting, and alliance teams to enhance offerings and delivery.

⛳️ Requirements

• Over 10 years of experience in data engineering, platform engineering, solution architecture, technical consulting, or similar roles.

• Extensive experience in consulting, professional services, systems integration, or technical pre-sales.

• Proven track record of managing the technical workstream for complex enterprise sales cycles, preferably with Fortune 500 clients.

• Strong architecture and implementation skills with Databricks and Snowflake in enterprise settings.

• Familiarity with Anthropic’s platform for AI and agentic applications.

• Comprehensive knowledge of modern data engineering, including Spark, SQL, Python, data pipelines, orchestration, data modeling, and distributed processing.

• Profound understanding of lakehouse and warehouse architecture, medallion patterns, Unity Catalog, Delta Lake, governance, and security.

• Experience with data platform or warehouse migrations.

• Knowledge of semantic layers, analytics architectures, and BI tools such as Sigma and Omni, as well as how enterprise data platforms facilitate AI and ML workloads.

• Practical knowledge of Azure, AWS, and GCP, including platform deployment and infrastructure.

• Experience in designing custom applications and bidirectional integrations with SaaS platforms.

• Expert-level proficiency in leading client discovery, architecture workshops, solution design, demonstrations, estimation, and scoping of statements of work, including outcome-based and multi-phase projects.

• Experience in defining strategic transformation program roadmaps at large enterprises, particularly Fortune 500 clients.

• Outstanding communication skills with engineers, architects, data leaders, and C-suite executives, including the ability to present recommendations and defend them under scrutiny.

• Preferred certifications in Databricks, Snowflake, or major cloud providers.

• Willingness to travel approximately once every one to two months for client meetings, workshops, and events.

🏝️ Benefits

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