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Databricks Lead – Python, PySpark, SQL & Supply Chain Analytics
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- Contract
Work Model: Hybrid (3 days per week in office)
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Astra North Infoteck Inc.

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

Toronto, ON, Canada

Contract

Apply on astra-north.zohorecruit.ca About employer

Applications open in a new tab.

Job details

Job type: Contract
Work location: Work Model: Hybrid (3 days per week in office)
Experience: Experience Required: 6-8 Years
Posting language: English
Posted: Nov 9, 2026

Original 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 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

Apply on astra-north.zohorecruit.ca About employer

More about this job

Responsibilities

The Databricks Lead at Astra North Infoteck Inc. will build and operate data pipelines and analytics products for supply chain data. They will also model data from enterprise systems, develop machine learning solutions, and explain technical work to business stakeholders.

Requirements

Candidates need 6 to 8 years of experience, strong Databricks, Python, PySpark and SQL skills, and knowledge of data modeling and supply chain analytics. Experience in oil and gas, procurement or spend analytics is preferred.

Skills

Databricks
Python
PySpark
SQL
Oracle SQL
Databricks Notebooks
Databricks Jobs
Databricks Workflows
Unity Catalog
Databricks SQL Warehouses
Genie Code
Lakeflow Designer
ETL/ELT Pipeline Development
Data Architecture
Data Modeling
Data Integration
Data Transformation
Machine Learning
Classification
Forecasting
Anomaly Detection
Natural Language Processing
Text Analytics
Supply Chain Analytics
Procurement Analytics

Keywords

Databricks
Python
PySpark
SQL
Oracle SQL
Databricks Lakeflow
Unity Catalog
Databricks Workflows
ETL
ELT
Data Pipeline
Data Modeling
Data Architecture
Machine Learning
Forecasting
Anomaly Detection
NLP
Supply Chain Analytics
Procurement Analytics
Spend Analytics

Seniority

Senior

Tools

Databricks
Python
PySpark
SQL
Oracle SQL
Unity Catalog
Lakeflow Designer
Oracle Cloud
SAP
Dataverse

Languages

English

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