BI Data Architect
| Company | Michelin |
|---|---|
| Location | Greenville, SC, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- Proficiency in Azure data services (DataLake, Databricks, Data Factory)
- Solid experience with Microsoft Power BI
- Expertise in dimensional data modeling and Lakehouse architecture
- Knowledge of Delta Lake
- Superb communication, presentation, and persuasion skills
- Strong critical thinking and conceptual thinking abilities
- Ability to facilitate team collaboration and partner engagement
- Strategic planning and execution capabilities
- Proficiency in Agile (SAFe) methodologies
- 7+ years of experience in BI Architect roles
- Relevant certifications such as Azure Data Engineer, Azure Enterprise Data Analyst, Power BI Data Analyst, and Azure AI Fundamentals
- A consistent track record of leading data architecture projects and collaborating with cross-functional teams
- Ability to work independently and as part of a team in a fast-paced environment
- Commitment to continuous learning and staying updated with the latest data technologies
- Strong problem-solving skills and the ability to handle complex challenges.
Responsibilities
- Lead Data Architecture Design: Design and implement secure, scalable data architecture for the O2C process using Azure cloud services.
- Collaborate with Team members: Work closely with business collaborators to understand their data needs and translate them into technical requirements.
- Develop Data Pipelines: Create and maintain data pipelines using Databricks to ingest, transform, and load data into Azure Blob Storage in Delta Lake Parquet format.
- Ensure Data Security: Implement robust security practices to ensure data privacy and compliance with regulations.
- Create Data Visualizations: Design and develop Power BI reports and dashboards to visualize key O2C metrics and provide business insights.
- Automate Processes: Automate data pipelines and report generation using CI/CD tools for continuous integration and delivery.
- Champion Data Quality: Lead data quality initiatives to ensure the accuracy and consistency of data across the platform.
- Mentor and Guide: Provide mentorship to junior data architects and analysts, fostering a culture of continuous learning and improvement.
Preferred Qualifications
-
No preferred qualifications provided.