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
