Job Description Work Mode: Hybrid 3 Days Onsite (Monday, Tuesday, Thursday) Advanced experience with: Python PySpark SQL Data Modeling Techniques ETL/ELT Development Position Summary SCM Data, Innovation & Analytics is seeking an experienced SCM Data Modeler with strong Databricks expertise to design, build, and operationalize scalable Supply Chain data products that deliver measurable business value.

This role combines data modeling, advanced analytics, data engineering, and product delivery to transform complex Supply Chain data into trusted, governed, and actionable insights.

The ideal candidate will have experience working with Supply Chain, Procurement, Supplier Management, and Spend Analytics data, leveraging modern cloud data platforms to support analytics, reporting, and AI-driven business solutions.

This role requires strong technical expertise in Databricks, Python, PySpark, SQL, and enterprise ERP data ecosystems.

Data Modeling & Analytics Solutions Develop analytics solutions that address complex Supply Chain business challenges and opportunities.

Apply knowledge of procurement, supplier performance, spend analytics, inventory, and operational processes to deliver business-focused data products.

Translate business requirements into scalable data models that support reporting, analytics, and operational decision-making.

Data Engineering & Pipeline Development Design, build, test, and optimize scalable ETL/ELT pipelines using: Databricks Python PySpark SQL Databricks Notebooks Workflow and Pipeline Orchestration Frameworks Develop and maintain reliable Silver and Gold layer data products following enterprise data architecture standards.

Ensure data quality, reliability, performance, and scalability of analytical solutions.

Data Integration & Transformation Transform and model data from multiple enterprise platforms, including: Oracle Cloud SAP Azure Data Warehouse (ADW) Microsoft Dataflow Dataverse Other approved enterprise data sources Build and maintain logical and physical data models that support Supply Chain analytics initiatives.

Analyze structured and unstructured Supply Chain data to generate actionable business insights.

Advanced Analytics, AI & Machine Learning Develop and evaluate advanced analytics and AI-driven solutions where appropriate and support use cases involving: Forecasting Classification Models Anomaly Detection Text Analytics Natural Language Processing (NLP) Predictive Analytics Databricks Platform Enablement Utilize Databricks capabilities to accelerate data product development while ensuring governance and compliance standards are maintained, including: Databricks Notebooks Jobs & Workflows Unity Catalog SQL Warehouses Genie Code Lakeflow / Lakeflow Designer Documentation & Stakeholder Communication Create and maintain project documentation, including: Business Requirements Solution Designs Data Models Idea Assessments Technical Specifications Status Reports Communicate technical concepts, solution designs,



and project updates effectively to both technical and non-technical stakeholders.

Partner with Supply Chain, Analytics, IT, and business teams to ensure successful delivery and adoption of data products.

Required Qualifications 68 years of experience in Data Modeling, Data Engineering, Analytics, or related disciplines.

Strong hands-on experience with Databricks.

Experience designing and implementing scalable enterprise data solutions Strong understanding of data warehousing concepts, dimensional modeling, and data governance practices.

Experience integrating data from ERP and enterprise platforms.

Excellent problem-solving, analytical, and communication skills.

Ability to translate business requirements into scalable technical solutions.

Preferred Qualifications Experience with Oracle Supply Chain Planning Cloud (SCM Cloud).

Experience working in Supply Chain, Procurement, Supplier Management, or Spend Analytics domains.

Knowledge of Oil & Gas business operations and supply chain processes.

Experience with Machine Learning, AI, and advanced analytics solutions.

Familiarity with Microsoft Azure data ecosystem and modern cloud-based data architectures.

Experience working within Agile delivery environments.

Requirements Work Mode: Hybrid 3 Days Onsite (Monday, Tuesday, Thursday) Advanced experience with: Python PySpark SQL Data Modeling Techniques ETL/ELT Development Position Summary SCM Data, Innovation & Analytics is seeking an experienced SCM Data Modeler with strong Databricks expertise to design, build, and operationalize scalable Supply Chain data products that deliver measurable business value.

This role combines data modeling, advanced analytics, data engineering, and product delivery to transform complex Supply Chain data into trusted, governed, and actionable insights.

The ideal candidate will have experience working with Supply Chain, Procurement, Supplier Management, and Spend Analytics data, leveraging modern cloud data platforms to support analytics, reporting, and AI-driven business solutions.

This role requires solid technical expertise in Databricks, Python, PySpark, SQL, and enterprise ERP data ecosystems.

Data Modeling & Analytics Solutions Develop analytics solutions that address complex Supply Chain business challenges and opportunities.

Apply knowledge of procurement, supplier performance, spend analytics, inventory, and operational processes to deliver business-focused data products.

Translate business requirements into scalable data models that support reporting, analytics,



and operational decision-making.

Data Engineering & Pipeline Development Design, build, test, and optimize scalable ETL/ELT pipelines using: Databricks Python PySpark SQL Databricks Notebooks Workflow and Pipeline Orchestration Frameworks Develop and maintain reliable Silver and Gold layer data products following enterprise data architecture standards.

Ensure data quality, reliability, performance, and scalability of analytical solutions.

Data Integration & Transformation Transform and model data from multiple enterprise platforms, including: Oracle Cloud SAP Azure Data Warehouse (ADW) Microsoft Dataflow Dataverse Other approved enterprise data sources Build and maintain logical and physical data models that support Supply Chain analytics initiatives.

Analyze structured and unstructured Supply Chain data to generate actionable business insights.

Advanced Analytics, AI & Machine Learning Develop and evaluate advanced analytics and AI-driven solutions where appropriate and support use cases involving: Forecasting Classification Models Anomaly Detection Text Analytics Natural Language Processing (NLP) Predictive Analytics Databricks Platform Enablement Utilize Databricks capabilities to accelerate data product development while ensuring governance and compliance standards are maintained, including: Databricks Notebooks Jobs & Workflows Unity Catalog SQL Warehouses Genie Code Lakeflow / Lakeflow Designer Documentation & Stakeholder Communication Create and maintain project documentation, including: Business Requirements Solution Designs Data Models Idea Assessments Technical Specifications Status Reports Communicate technical concepts, solution designs, and project updates effectively to both technical and non-technical stakeholders.

Partner with Supply Chain, Analytics, IT, and business teams to ensure successful delivery and adoption of data products.

Required Qualifications 68 years of experience in Data Modeling, Data Engineering, Analytics, or related disciplines.

Strong hands-on experience with Databricks.

Experience designing and implementing scalable enterprise data solutions Strong understanding of data warehousing concepts, dimensional modeling, and data governance practices.

Experience integrating data from ERP and enterprise platforms.

Excellent problem-solving, analytical, and communication skills.

Ability to translate business requirements into scalable technical solutions.

Preferred Qualifications Experience with Oracle Supply Chain Planning Cloud (SCM Cloud).

Experience working in Supply Chain, Procurement, Supplier Management, or Spend Analytics domains.

Knowledge of Oil & Gas business operations and supply chain processes.

Experience with Machine Learning, AI, and advanced analytics solutions.

Familiarity with Microsoft Azure data ecosystem and modern cloud-based data architectures.

Experience working within Agile delivery environments.

📌 SCM Data Modeler (Toronto)
🏢 Astra North Infoteck
📍 Toronto