[Hiring] Senior BI Lead Databricks Engineer @Stefanini Group

Role Description

The Senior BI Lead & Databricks Engineer is responsible for serving as the technical authority and team leader for Business Intelligence and data platform initiatives. This is a dual-function role combining expert-level Databricks platform engineering with senior Power BI development and offshore BI team leadership. The role owns the architecture, governance, and delivery roadmap for both the Databricks Lakehouse environment and the Power BI reporting ecosystem, while guiding an offshore team of BI developers to ensure consistent quality and on-time delivery.

Qualifications

• Minimum 5 years of hands-on data engineering experience, with 3 or more years working in Databricks at production scale.
• Expert proficiency in PySpark, Spark SQL, and Delta Lake including schema evolution, file optimization, and VACUUM operations.
• Deep working knowledge of Medallion / Lakehouse architecture patterns and best practices.
• Minimum 5 years of Power BI development experience including complex DAX, data modeling, and enterprise report design.
• Experience with Power BI Premium, Deployment Pipelines, and workspace administration.
• Proven ability to architect and manage enterprise-grade semantic models and datasets connected to cloud data platforms.
• Hands-on experience with Azure Data Lake Storage, Azure Data Factory, or equivalent cloud data services.
• Strong SQL skills including complex joins, CTEs, window functions, and query performance tuning.
• Experience with CI/CD pipelines and version control (Azure DevOps, Git) for data and BI workflows.
• 2 or more years of experience leading, mentoring, or managing BI developers; offshore team management experience strongly preferred.
• Demonstrated ability to manage workload, quality standards, and delivery timelines across distributed teams.
• Excellent written and verbal communication skills with the ability to present technical findings to non-technical stakeholders.
• Ability to manage competing priorities and deliver consistent results in a fast-paced, remote environment.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field preferred; equivalent professional experience considered.
• Databricks Certified Associate or Professional certification (Data Engineer or Data Analyst track) preferred; willingness to obtain certification if not already held.
• Microsoft Certified: Power BI Data Analyst Associate (PL-300) preferred; willingness to obtain certification if not already held.

Company Description