Who are data engineers and data architects?
A data architect designs the structure of an organization’s data: which systems hold which records, how they connect, what the shared data model looks like, and where the data platform (a warehouse or lakehouse) sits. A data engineer builds and operates what the architect designs: the pipelines that extract data from the ERP, CRM, and ticketing systems, transform it, load it, test it, and keep it running every night.
The architect works in diagrams, standards, and decisions. The engineer works in code, SQL, orchestration tools, and monitoring. In a company of a few hundred people, one senior person often does both jobs.
Data engineer and data architect in practice
| Question | Data architect | Data engineer |
|---|---|---|
| Main output | Target architecture, data model, integration standards | Working pipelines, tests, and the data they produce |
| Typical decision | Where retrieval data for an assistant lives and how agents reach systems of record | How a nightly load recovers when the source API times out |
| Busiest phase | The first weeks of a program | The whole life of the platform |
On an AI program, the architect decides where training data, retrieval documents, and audit logs live and which paths an agent may use to read or change business systems. The engineer builds the feeds into the vector index, the feature tables, and the reporting layer, plus the validation and lineage capture behind them. In Kirk Tech Solutions engagements, the architecture work is concentrated at the start and the engineering work continues for the life of the platform, so the engineering role is the one to staff permanently.