Architecture + hands-on engineering

Data systems built for change.

Mattian Consulting designs and builds data pipelines, integration platforms, and distributed systems with clear boundaries between business behavior, execution, infrastructure, and transport.

Diagram of a data system: inputs converging into a processing stage, then branching into separate services and datastores.

Engineering beyond the immediate requirement

Architect-level thinking. Production-level implementation.

Difficult systems accumulate responsibilities in the wrong places. Mattian Consulting separates them deliberately, establishing small, explicit contracts so software can evolve without destabilizing the whole.

Transports can change, infrastructure can move, implementations can be replaced, and useful business behavior can remain intact.

Core capabilities

Deep systems work, clearly bounded.

01 / Pipelines

Data pipelines

Event-driven processing from ingestion through transformation, persistence, replay, and delivery—with provenance and failure behavior designed in.

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02 / Integration

Distributed integration

Durable boundaries across brokers, databases, APIs, storage platforms, cloud services, legacy systems, and external providers.

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03 / Modernization

Software modernization

Incremental decomposition that preserves valuable behavior while progressively replacing machinery and reducing migration risk.

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Fractional CTO + technical leadership

Senior judgment without architecture from a distance.

Strategy remains close enough to implementation to be tested against code, operations, organizational constraints, and engineering capability.

Architectural evidence

Ergo: useful work independent from its machinery.

Ergo is the architectural model behind Mattian Consulting’s approach to composable processing—not a product clients must adopt.

It demonstrates a practical commitment to ordinary business functions, explicit contracts, replaceable infrastructure, and deliberate ownership of distributed work.

Start with the problem

Build systems that can change without being rebuilt.

Planning a data platform, untangling an integration, modernizing a working legacy system, or seeking experienced technical leadership?