Support Technical Lead Data Analytics / Azure / Databricks

• Lead technical support and escalation for complex data analytics application issues
• Troubleshoot large-scale data processing problems involving volume, performance, data quality, configuration, and transformation logic
• Investigate issues across Azure data services, Databricks, PySpark, SQL Server/DWH, ADLS, Delta, and Parquet
• Diagnose ETL, reporting, dataset upload, and data movement issues across cloud-based platforms
• Use advanced T-SQL skills to analyze, tune, and resolve production data issues
• Create reusable troubleshooting assets, including runbooks, query packs, diagnostics, and support documentation
• Coach analysts and partner with engineering/product teams to drive root-cause closure

• 8+ years of experience in application support, technical lead, data platform support, or production troubleshooting roles
• Strong hands-on experience with Azure data engineering and Python
• Working knowledge of Databricks and PySpark
• Strong T-SQL / data warehouse background, including stored procedures, functions, execution plans, indexing, CTEs, temp tables, and performance tuning
• Experience troubleshooting large datasets, data pipelines, ETL workflows, and reporting issues
• Strong understanding of relational database concepts and modern data platform support
• Excellent communication skills with the ability to explain complex technical issues clearly

Nice to Have

• Azure Data Factory experience
• ADLS file format expertise: Parquet/Delta vs. CSV/Excel
• Power BI, Alteryx, or advanced Excel
• MSBI / SSIS background
• ERP data experience with SAP or Oracle
• Basic accounting or financial dataset knowledge