ERP Modernization Architect
Job in
Lethbridge, Alberta, Canada
Listed on 2026-06-05
Listing for:
DemandBridge
Full Time
position Listed on 2026-06-05
Job specializations:
-
IT/Tech
Data Engineering, AI Engineer (Applied/Software), Systems Engineer
Job Description & How to Apply Below
Description
The Opportunity
We have a stable, revenue-generating ERP platform built on Provide
X (a Business BASIC derivative) that serves a loyal customer base. We are not looking to rebuild it from scratch. We need a senior architect who understands how legacy business logic systems work, can map the existing architecture, and build a modern API layer on top of it so we can connect AI capabilities, third-party integrations, and new product experiences to the data and workflows that already exist.
This is a "wrap, don’t replace" strategy. The right person will see the Provide
X codebase not as technical debt, but as encoded business logic worth preserving and exposing through modern interfaces.
- Reverse-engineer and document the Provide
X ERP architecture: data models, keyed file structures, business rules, and process flows - Design and build a RESTful (or Graph
QL) API layer that exposes core ERP functions and data to modern consumers without rewriting the underlying system - Define the integration architecture that allows AI tools, third-party platforms, and new front-end experiences to read from and write to the ERP safely
- Establish a service boundary map: what stays in Provide
X, what gets abstracted, and what eventually migrates
- Make ERP data accessible and usable for AI/ML workflows by building clean data pipelines from legacy file structures to modern data stores
- Partner with product and leadership to identify the highest-value AI use cases that depend on ERP data (predictive analytics, workflow automation, intelligent recommendations)
- Evaluate and recommend AI tools and platforms that can plug into the API layer you build
- Ensure data governance, security, and compliance as legacy data becomes more broadly accessible
- Own the reliability and performance of the ERP platform throughout the modernization process; nothing breaks for existing customers
- Lead incident response and root-cause analysis for production issues
- Establish pragmatic engineering standards that acknowledge the reality of a legacy codebase while moving it forward
- Prioritize modernization efforts based on business impact, not technical elegance
- Lead and grow the ERP engineering team, building API and integration capabilities alongside legacy maintenance skills
- Act as the senior technical voice connecting engineering, product, support, and executive leadership
- Translate complex technical realities ("this is Provide
X, here’s what that means for your timeline") into language that non-technical stakeholders can act on - Mentor engineers who may be new to legacy systems, helping them see architectural patterns rather than just old code
- Own the Azure environment hosting the ERP platform
- Drive infrastructure automation, disaster recovery, and operational hygiene
- Support the longer-term cloud and SaaS evolution strategy as the API layer matures
- Deep experience with legacy business logic languages:
Provide
X, Business BASIC (BBx/BBj), Pick/Multi Value BASIC, RPG, or COBOL. You need to be able to read procedural, record-oriented code and understand the business rules it encodes. - Proven track record of building API layers on top of legacy systems without full rewrites. You’ve done the "wrap and expose" pattern before.
- Senior engineering leadership experience overseeing mission-critical enterprise systems where downtime means lost revenue.
- Strong understanding of keyed file structures, flat-file databases, and how legacy data models differ from modern relational or document stores.
- Cloud infrastructure experience, preferably Microsoft Azure.
- Ability to communicate technical constraints and trade-offs to non-technical leadership clearly and without jargon.
- Hands-on experience with Provide
X specifically, or with Sage or SAP Business One ERP systems built on it - Experience designing data pipelines that make legacy data consumable by AI/ML tools
- Familiarity with AI/ML integration patterns (you don’t need to build models, but you need to…
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