Set up and run the Data Modeling COE: standards, review
gates, reusable templates, and knowledge assets.
Define and enforce modeling conventions, versioning,
and operating model (intake → design → review → sign‐off).
Drive data governance—cataloging, lineage, policy‐based
access, encryption/tokenization, and compliance readiness.
Lead logical and physical DB design; produce ER
diagrams and schema diagrams; maintain PTM (physical technology model)
across RDBMS and NoSQL.
Propose and implement re‐structuring of legacy schemas
for scalability, resiliency, and cost/performance optimization.
Architect multi‐tenant strategies (schema/table/row‐level
isolation) and workload isolation.
Define end‐to‐end migration approaches (assessment →
design → build → cutover → validation) across RDBMS ↔ NoSQL and cloud
platforms.




Orchestrate CDC/ETL/ELT and integrations (e.g., ADF,
Glue, Kafka/NiFi, Logic Apps, Databricks).
Establish reconciliation, golden‐record checks, phased
cutover plans, and rollback strategies.
Lead performance tuning (indexing/partitioning, query
plan analysis, caching) and Spark optimization to address skew,
partitioning, and storage formats (Parquet/Delta).
Define SLA‐backed observability and capacity planning.
Automate repetitive tasks and pipeline scaffolding to
reduce manual intervention across tech stacks.
Implement CI/CD for data pipelines, automated quality
gates, and IaC for data platforms.

📌 Data Modeler (Sydney)
🏢 XPT Software Australia Pty
📍 Sydney