AWS Platform Engineering Agents
phData · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
The phData AWS Platform Engineering Agent is one of the first production-minded platform agents in phData’s broader Intelligence Platform suite, focused specifically on data engineering and modeling. Point it at a transactional PostgreSQL database and the agent will automatically discover tables, columns, primary/foreign keys, and row counts in real time via the phData Forge Toolkit. From there, users can ask business questions in natural language, and the agent generates and runs the SQL on the fly against the schema it just learned; no prior training on that database, no hardcoded joins.
Where it really differentiates is in model design and code generation. The agent analyzes the discovered schema to identify business processes and propose a Kimball-style star schema: fact tables with clearly defined grain, conformed dimensions (products, customers, employees, territories, etc.), and documented key relationships plus the business questions those models support. It then uses this design to generate a complete dbt project (sources, staging, marts, tests, macros) and a MetricFlow-compatible semantic layer, which compiles cleanly and is ready to plug into your existing analytics stack.
Show the rest of the publisher’s description (1 more line)
All of this runs on AWS-native foundations: Amazon Bedrock AgentCore orchestrating tools, Strands Agents SDK for agent behavior, the phData Toolkit for scans and profiling, and a simple bootstrap script that provisions the AWS environment (VPC, security groups, subnets, RDS instance, seeded Northwind dataset, config, and Python dependencies). The result is a repeatable, infrastructure-as-code–friendly pattern for standing up intelligent, self-configuring data engineering agents that collapse weeks of manual discovery, modeling, and dbt authoring into a guided, interactive experience.
Highlights
Highlighted by the publisher on AWS Marketplace.
Collapse time-to-model from months to hours by automating schema discovery, grain analysis, star schema design, and dbt project generation.
Eliminate manual mapping and brittle logic with an agent that discovers schemas at runtime (no hardcoded joins, no pretraining on specific databases).
Accelerate semantic layer adoption with MetricFlow-ready definitions generated directly from the proposed warehouse design.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

