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# Support Technical Lead Data Analytics / Azure / Databricks

- **Company:** MetaSense Inc
- **Location:** Montvale, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Microsoft Excel, Big Data, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Python (Programming Language), Microsoft SQL Server, Microsoft Business Intelligence, Operational Databases, Oracle (Applications), Performance Tuning, Power BI, SAP (Applications), SQL Stored Procedures, SQL Server Integration Services, Transact-SQL, Parquet, Cloud Platform System, Azure Data Factory, Indexer, Pyspark, Data Analytics, Data Pipelines, Alteryx, Databricks
- **Published:** June 1, 2026
- **Apply:** https://www.dice.com/job-detail/73341a7a-41e3-4054-8bad-8ef26811adc9

## About the Role

* 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

## Description

* 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


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