ROLE PURPOSE:

Embed within the existing data migration pipeline — Databricks on Azure through to Salesforce, coordinated via cutover tool — and identify, build, and operate AI agents / tools that reduce manual effort and improve accuracy at specific points in that pipeline. This is a hands-on delivery role, not an advisory one: the person will be doing migration work themselves, augmented by AI, not directing others to do it

.

REQUIRED EXPERIEN

CEPipeline & platfo
rmGood understanding of Medallion Architecture and up-to-date Data Engineeri
ngDatabricks: PySpark/SQL, Delta Lake, notebooks, job orchestration, Unity Catal
ogAzure ecosystem: Azure Data Factory, Azure Storage, and networking/security basics for Azure-hosted workloa
dsSalesforce data model: objects, relationships, API limits, Bulk API, data loader patter
nsFamiliarity with cutover / migration orchestration tooling and general migration discipline (mapping, reconciliation, validation, rollback and cutover plannin
g)Preferably Telco Experien

ceAI / agent implementati
onPractical experience building or configuring agents — orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or Azure AI Foundry's agent tooling — not just single-call LLM integratio
nsAzure OpenAI Service experience,



given the pipeline is already Azure-host
edWorking knowledge of Databricks' native AI surface (Mosaic AI, AI Functions in SQL, Databricks Assistan
t)RAG / embeddings experience is a plus where unstructured data (e.g. legacy field documentation) is involv

ed

KEY RESPONSIBILIT
IESDesign and implement AI agents / tools that plug into one or more stages of the existing migration pipel
ineWork within telecom existing tools and platforms rather than introducing a parallel st
ackApply judgement on where AI genuinely adds value versus where a deterministic script is the better (and cheaper) ans
werBuild and maintain data mapping, reconciliation, and validation logic across Databricks, the cutover tool, and Salesfo
rceMonitor, troubleshoot, and iterate on AI-assisted components already in flight during migration cutov
ersDocument AI touchpoints clearly enough for the broader migration team to operate and trust t

hemWHAT THIS ROLE IS
NOTNot a pure ML / data science role — no model-training requirem
entNot a pure Salesforce admin or developer role — though solid Salesforce fluency is expec
tedNot a generic prompt-engineering role — value comes from pipeline-aware implementation, not prompting al

one

📌 Data Migration Consultant Sydney (Australia)
🏢 IVEGA GROUP
📍 Australia