Capabilities
Archetype Core specializes in Databricks architecture, data engineering, governance, lakehouse modernization, and traceable AI for federal and regulated environments.
Core Capabilities
We focus on the infrastructure behind reliable analytics and AI: governed platforms, production data pipelines, controlled access, traceability, and systems designed to hold up under operational scrutiny.
Databricks architecture, Delta Lake, Bronze/Silver/Gold design, migration planning, incremental processing, performance tuning, warehouse sizing, and production reliability.
Catalog and schema architecture, ownership and privilege models, RBAC and ABAC, governed tags, row filters and column masks, lineage and audit through system tables, external locations, storage credentials, and Hive metastore to Unity Catalog migration.
CDC, ETL and ELT, multi-source ingestion, PySpark and SQL pipelines, data modeling, schema evolution, orchestration, validation, reconciliation, observability, CI/CD, and Terraform across AWS and Databricks.
RAG and retrieval architecture, authoritative-source grounding, citations, evaluation, confidence signals, model and retrieval metadata, controlled access, human review, and audit records.
Architecture Standard
Archetype Core designs data and AI systems around three practical questions: whether the data can be trusted, whether the system can be controlled, and whether the organization can reconstruct what happened later.
Authoritative sources, quality, ownership, lineage, and transformations that can be understood and verified.
Reliable pipelines, controlled access, explicit configuration, testing, monitoring, and production operating patterns.
Enough provenance, metadata, audit records, and decision traceability to reconstruct system behavior later.
How We Deliver
Archetype Core applies these capabilities through focused solution engagements, directly scoped implementation work, and specialized support to established delivery teams. The scope follows the system and mission need, not a generic transformation package.
Define platform boundaries, data flows, governance, integration patterns, controls, and the operating model before implementation hardens the wrong decisions.
Build and modernize governed pipelines, Databricks lakehouses, Unity Catalog environments, and traceable AI systems.
A two-week, $9,500 fixed-fee review of one defined use case across data readiness, system readiness, and evidence readiness.
Explore the Readiness Review →Bring the mission need, current environment, and constraints. Archetype Core will help define the right architecture and delivery path.
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