Databricks Architect

Data Engineering and Architecture:

• Design, develop, and maintain ETL/ELT pipelines in Databricks for clean, reliable data processing.
• Support and maintain cloud data infrastructure (storage, compute, data models) with a focus on scalability, governance, and security.
• Establish and champion foundational data/BI practices.

Data Visualization and Reporting:

• Build Power BI dashboards for executive audiences, translating strategy into clear visual insights.
• Develop real-time or frequent-refresh data processes that support timely decision-making.
• Optimize and maintain existing dashboards and pipelines for performance, accuracy, and usability.

Collaboration and Communication:

• Collaborate with analysts, stakeholders, and leadership to understand requirements and deliver actionable solutions.
• Serve as a bridge between business/leadership and technical teams, translating business needs into platform capabilities.
• Excellent communication skills for working with both technical and non-technical audiences.