Databricks Lead – Python, PySpark, SQL & Supply Chain Analytics

Job Description
Databricks Lead – Python, PySpark, SQL & Supply Chain Analytics
Experience Required: 6-8 Years
Location: Toronto / Edmonton / Calgary
Work Model: Hybrid (3 days per week in office)
Role Summary
Seeking a Databricks Lead with strong expertise in Databricks to design, build, and operationalize scalable Supply Chain data products that deliver measurable business value. This role
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combines advanced analytics, data pipeline development, and product delivery to transform complex Supply Chain Management (SCM) data into trusted, governed, and actionable insights.
Key Responsibilities
• Develop analytics solutions that address Supply Chain business challenges, leveraging knowledge of oil & gas operations, procurement, supplier performance, spend analytics, and enterprise value drivers.
• Design, build, test, and optimize scalable ETL/ELT pipelines in Databricks using Python, PySpark, SQL, notebooks, jobs, and orchestration patterns to support reliable Silver and Gold data products.
• Transform and model data from ERP and enterprise platforms, including Oracle Cloud, SAP, ADW, Microsoft Dataflow, Dataverse, and other approved data sources.
• Build and evaluate machine learning, statistical, and AI-assisted solutions, including:
• Classification
• Forecasting
• Anomaly Detection
• Text Analytics
• Natural Language Processing (NLP)
• Utilize Databricks platform capabilities such as:
• Notebooks
• Jobs
• Workflows
• Unity Catalog
• SQL Warehouses
• Genie Code
• Lakeflow / Lakeflow Designer
• Maintain project documentation, including idea assessments, requirements, design documents, and weekly status reports.
• Communicate technical concepts, requirements, solution designs, and product details effectively to business stakeholders in clear, non-technical language.
Required Skills
• Databricks
• Python
• PySpark
• SQL / Oracle SQL
• Data Architecture & Data Modeling
• ETL / ELT Pipeline Development
• Machine Learning
• Supply Chain Analytics
• Data Integration and Data Transformation
Preferred Domain Experience
• Supply Chain Management (SCM)
• Oil & Gas Industry
• Procurement Analytics
• Supplier Performance Analytics
• Spend Analytics
Requirements
Salesforce

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