
51 - 200 employees
🤖 Artificial Intelligence
💼 Consulting
Artificial Intelligence • Analytics • Consulting
Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. It empowers organizations to unlock value from data by providing strategic guidance, developing state-of-the-art AI solutions, and implementing cutting-edge analytics applications. Aimpoint Digital partners with various companies to enhance operations, drive data-driven decisions, and maximize ROI through personalized data strategies and optimization solutions.
🔥 20 minutes ago
🍑 Georgia – Remote
⏰ Full Time
🟠 Senior
🔴 Lead
👨💼 Chief Technology Officer (CTO)
🦅 H1B Visa Sponsor
👻 Ghost score 15%
Where this job comes from
Posted on Aimpoint Digital's careers page, not through a job board
First seen by Remote Rocketship 20 minutes ago

51 - 200 employees
🤖 Artificial Intelligence
💼 Consulting
Artificial Intelligence • Analytics • Consulting
Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. It empowers organizations to unlock value from data by providing strategic guidance, developing state-of-the-art AI solutions, and implementing cutting-edge analytics applications. Aimpoint Digital partners with various companies to enhance operations, drive data-driven decisions, and maximize ROI through personalized data strategies and optimization solutions.
• 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
• 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
• Willingness to travel roughly once every one to two months for client meetings, workshops, and events
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