Databricks Lead
- Calgary, AB, Canada
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Original job description
Role - Databricks Lead
Location - Calgary, AB
Role Summary
SCM Data & Innovation Analytics is 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 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
More about this job
Responsibilities
Design, build, test, and optimize scalable Databricks data pipelines and governed Silver and Gold data products using enterprise data sources. Develop analytics and machine learning solutions for supply chain challenges, document project work, and communicate technical designs and product details to business stakeholders.
Requirements
The role requires strong Databricks expertise, including Python, PySpark, SQL, data architecture and modeling, ETL/ELT development, machine learning, and data integration and transformation. Supply chain analytics experience is required, with oil and gas, procurement, supplier performance, and spend analytics identified as preferred domain experience.
Skills
- Databricks
- Python
- PySpark
- SQL
- Oracle SQL
- Data Architecture
- Data Modeling
- ETL/ELT Pipeline Development
- Machine Learning
- Supply Chain Analytics
- Data Integration
- Data Transformation
- Procurement Analytics
- Supplier Performance Analytics
- Spend Analytics
- Oil and Gas Operations
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Logistics
- Energy
Keywords
- Databricks
- Python
- PySpark
- SQL
- Oracle SQL
- ETL/ELT
- Data Architecture
- Data Modeling
- Machine Learning
- Statistical Analysis
- Artificial Intelligence
- Classification
- Forecasting
- Anomaly Detection
- Text Analytics
- Natural Language Processing
- Supply Chain Management
- Oil and Gas
- Procurement
- Supplier Performance
- Spend Analytics
- Oracle Cloud
- SAP
- ADW
- Microsoft Dataflow
- Dataverse
- Unity Catalog
- SQL Warehouses
- Lakeflow
- Workflows