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Snowflake services, end to end.

Architecture, engineering, AI, and managed extension. We deliver Snowflake services that end with code running in your account, not consultants running another workshop. Healthcare, enterprise, and federal customers since 2021.

What we doFour practices, one foundation

A service catalog with discipline.

Every Icon engagement runs through the same four practices, in the same order. Architecture before engineering. Engineering before AI. Governance and outcomes built in at each step, not retrofitted at the end.

01

Data Platform Architecture.

Snowflake-native cloud platforms designed for scale, governance, and cost control from the first schema. Warehouse sizing, RBAC, masking, zero-copy cloning, environment strategy.

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02

Solution Engineering.

Production pipelines that survive real traffic. dbt models with enforced contracts. Incremental ingestion across 20+ source systems. Observability, SLAs, runbooks.

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03

AI Engineering & Intelligence.

Cortex Agents, Cortex Search, and Cortex Analyst inside your Snowflake account. AI that inherits the platform's governance instead of bolting on a new attack surface.

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04

Data-Driven Business Outcomes.

Outcomes, not vanity dashboards. KPI models with source-to-boardroom lineage. Self-serve analytics for non-technical teams. Measurement that survives the next reorg.

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FeaturedWhere most engagements start

Snowflake Consulting Services.

Our flagship service offering. Four engagement models, one disciplined method. Architecture review, new platform build, migration, or managed extension - pick the one that matches your stage.

Four engagement models.

  • Review2-4 week senior architecture and cost review for organizations already running Snowflake
  • Build90-180 day new platform build from scratch with governance, ingest, AI, and handoff
  • MigrateDefined-scope Snowflake migration from Oracle, Teradata, Hadoop, Redshift, BigQuery, Synapse
  • OperateOngoing partnership with principal architect + senior engineers + AI engineer on bench

Common patterns we ship.

  • Cost recovery2-week engagement that typically identifies 20-40% in monthly Snowflake savings
  • Migration135% load improvement, 72% query-time gain on a recent on-prem to Snowflake project
  • AI layerCortex Agents, conversational analytics, semantic search on existing platforms
  • Revenue cycleHealthcare-specific 837/835 EDI analytics via the Avalanche EDI Accelerator
See the full Snowflake consulting playbook
AcceleratorsProductized, not custom-every-time

Three accelerators bolted into our service offer.

When a customer's problem matches a pattern we've shipped before, we deploy the accelerator instead of starting from scratch. Months of build time become days of deployment.

Healthcare

Clinical Healthcare Intelligence.

Unstructured clinical notes into governed, queryable intelligence. HIPAA-compliant, cited, with zero data movement.

See the architecture →

Revenue

Avalanche EDI Intelligence.

837 and 835 EDI transactions into governed revenue insight. 2-4% NCR lift, $100K-$300K monthly recovery.

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Platform

SnowDrift Schema Accelerator.

Automated JSON schema drift handling. Append-only retention, zero-downtime ingest, no manual ETL maintenance.

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IndustriesWhere the work lives

Services applied to three industries.

The four practices stay consistent. The data shapes, regulatory posture, and decision tempo change. Past performance in each.

Healthcare

Provider, Payer, HIE, Life Sciences.

HIPAA-aligned Snowflake platforms. Clinical data warehousing. Revenue cycle analytics. Delta Dental, Horizon BCBS, Highmark, MercyHealth, Cincinnati Children's, Abbott.

See healthcare engagements →

Enterprise

CPG, Telecom, Industrial.

Multi-business-unit architectures. Legacy migration. FinOps for Snowflake. P&G, Kraft Heinz, PepsiCo, Verizon, US Cellular, Abbott.

See enterprise engagements →

Federal

Defense, R&D, Civilian agencies.

Veteran-owned. FedRAMP-aware. Authorities, audit lineage, mission tempo. DARPA, U.S. Air Force, VA, Army National Guard.

See federal engagements →

MethodA quiet, disciplined approach

Four stages, evidence at every handoff.

No multi-phase slide deck. The same method whether the engagement is two weeks or twelve months.

01

Discover.

Source-system inventory, consumer mapping, compliance posture review, cost baseline. We name the real problem, not the comfortable one. Output: written platform brief.

02

Architect.

Snowflake foundation and AI layer designed for scale, governance, and total cost from day one. Output: reference architecture document and sprint-ready backlog.

03

Build.

Pipelines, models, and agents shipped in production-ready increments with tests and observability in place. Output: production-grade ingest for priority sources.

04

Operate.

Harden, document, transfer. Your team owns the platform, with our team a Slack message away. Output: documented runbook handoff.

Let's pick the service that fits your stage.

Whether you're standing up a new Snowflake platform, modernizing one you already operate, or adding an intelligence layer to a foundation that's earned trust, we'd like to talk about what's in scope.