Solutions
Archetype Core is a specialized consulting firm. We help teams assess, design, modernize, and govern consequential data and AI systems without turning every need into a broad transformation program.
What You Can Hire Us To Do
Each engagement starts with the system that exists, the outcome the team needs, and the controls and evidence that must survive the work. Scope is confirmed before delivery.
01
For a defined AI or data use case, trace the path from authoritative source to system behavior and human decision. Identify gaps in data readiness, system readiness, and evidence readiness before committing to a larger build.
Typical deliverables: traceability map, prioritized findings, remediation or pilot recommendation, and team readout.
Explore the Review02
For teams establishing or strengthening Databricks. Design the lakehouse, Unity Catalog governance model, access patterns, lineage, auditability, environment boundaries, and production engineering practices needed for controlled delivery.
Typical scope: architecture, Unity Catalog, governance, data engineering patterns, CI/CD, observability, and implementation support.
Explore Databricks03
For legacy or growing data platforms that need a controlled path forward. Assess dependencies, design the target architecture, modernize pipelines and transformations, validate data, reconcile results, and plan cutover without treating migration as a blind lift and shift.
Typical scope: workload assessment, migration architecture, pipeline modernization, validation, reconciliation, governance, and handoff.
See the Engineering Depth04
For teams moving retrieval-based AI toward production. Build around authoritative sources, controlled retrieval, citations, provenance, evaluation, access controls, monitoring, and human review where the workflow requires it.
Typical scope: RAG architecture, retrieval pipelines, model integration, evaluation, evidence capture, and decision handoffs.
Inspect the Reference SystemThe Archetype Standard
The technology changes by engagement. The questions do not.
Establish authoritative sources, ownership, quality, lineage, and the transformations that shape the result.
Design access, configuration, testing, monitoring, reliability, and operating boundaries into the system.
Retain enough evidence to understand what the system saw, did, produced, and what a person ultimately decided.
Capabilities Behind the Work
Archetype Core brings senior architecture and hands-on engineering across Databricks, Unity Catalog, data engineering, lakehouse modernization, governance, traceability, and retrieval-based AI.
Not Sure Where to Start?
If the problem is defined, we can scope the appropriate architecture or implementation engagement. If the evidence chain is unclear, the AI & Data Readiness Review provides a bounded starting point.