Back
Mid-level BI role in metro with well-known employer and common skillset increases competition.
Technical BI and data-engineering skills are transferable across industries, with moderate domain-specific governance needs.
Explicit 5+ years plus mandatory Power BI, Fabric, Snowflake, Python and ELT skills make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and optimize enterprise Power BI semantic models, reports, and dashboards aligned to business KPIs with governance and security.
Develop and maintain SQL-based ELT/ETL pipelines across Snowflake, Microsoft Fabric, and Azure Data Factory using Python/PySpark and SQL, ensuring data quality and compliance.
Lead delivery of BI and data-engineering solutions, guide other engineers, and contribute to advancing conversational analytics and AI-assisted insights in Power BI/Fabric.
Bachelor’s Degree or equivalent in a related field.
5+ years building enterprise Power BI solutions with expert skills in DAX, Power Query (M), SQL, and dimensional/semantic modeling.
Proven data-engineering experience with SQL-based ELT/ETL on Snowflake, Azure Data Factory and/or SSIS, plus hands-on Microsoft Fabric experience or ability to ramp quickly.
Proficiency in Python/PySpark for scripting ETL/ELT, automation, and validation; demonstrated performance tuning for Power BI and data workloads.
Experienced in architecting scalable and secure enterprise Power BI semantic models and data pipelines within modern lakehouse ecosystems.
Skilled in evolving BI platforms towards AI-enhanced and conversational analytics using Copilot, Q&A, and data agents.
Able to independently lead technical solution design, mentor engineers, and ensure alignment with architecture, governance, and quality standards.