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Application Support Lead / Technical Lead Long-term Contract Hybrid
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Benchmark IT
Remote
Full-Time
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Job Description
Applications Support Technical Lead — Data Analytics / Azure / DatabricksOur client, a prestigious global firm, we seeking an experienced Applications Support Technical Lead for a long-term contract opportunity supporting global, Azure-based data analytics platforms. This is a hybrid role requiring 3 days per week onsite.
This is a hands-on technical leadership position focused on complex incident resolution, data platform troubleshooting, large dataset support, and root-cause analysis across modern Azure data environments.
The right candidate will serve as an escalation lead for challenging production issues involving large datasets, data pipelines, performance bottlenecks, configuration problems, and data-processing failures. You will work closely with support analysts, engineering teams, and product stakeholders to diagnose issues, guide resolution, and help create durable fixes.
This is a hybrid role with 3 days per week onsite.
Key ResponsibilitiesLead technical support and escalation for complex data analytics application issuesTroubleshoot large-scale data processing problems involving volume, performance, data quality, configuration, and transformation logicInvestigate issues across Azure data services, Databricks, PySpark, SQL Server/DWH, ADLS, Delta, and ParquetDiagnose ETL, reporting, dataset upload, and data movement issues across cloud-based platformsUse advanced T-SQL skills to analyze, tune, and resolve production data issuesCreate reusable troubleshooting assets, including runbooks, query packs, diagnostics, and support documentationCoach analysts and partner with engineering/product teams to drive root-cause closureRequired Experience8+ years of experience in application support, technical lead, data platform support, or production troubleshooting rolesStrong hands-on experience with Azure data engineering and PythonWorking knowledge of Databricks and PySparkStrong T-SQL / data warehouse background, including stored procedures, functions, execution plans, indexing, CTEs, temp tables, and performance tuningExperience troubleshooting large datasets, data pipelines, ETL workflows, and reporting issuesStrong understanding of relational database concepts and modern data platform supportExcellent communication skills with the ability to explain complex technical issues clearlyNice to HaveAzure Data Factory experienceADLS file format expertise: Parquet/Delta vs. CSV/ExcelPower BI, Alteryx, or advanced Excel
This is a hands-on technical leadership position focused on complex incident resolution, data platform troubleshooting, large dataset support, and root-cause analysis across modern Azure data environments.
The right candidate will serve as an escalation lead for challenging production issues involving large datasets, data pipelines, performance bottlenecks, configuration problems, and data-processing failures. You will work closely with support analysts, engineering teams, and product stakeholders to diagnose issues, guide resolution, and help create durable fixes.
This is a hybrid role with 3 days per week onsite.
Key ResponsibilitiesLead technical support and escalation for complex data analytics application issuesTroubleshoot large-scale data processing problems involving volume, performance, data quality, configuration, and transformation logicInvestigate issues across Azure data services, Databricks, PySpark, SQL Server/DWH, ADLS, Delta, and ParquetDiagnose ETL, reporting, dataset upload, and data movement issues across cloud-based platformsUse advanced T-SQL skills to analyze, tune, and resolve production data issuesCreate reusable troubleshooting assets, including runbooks, query packs, diagnostics, and support documentationCoach analysts and partner with engineering/product teams to drive root-cause closureRequired Experience8+ years of experience in application support, technical lead, data platform support, or production troubleshooting rolesStrong hands-on experience with Azure data engineering and PythonWorking knowledge of Databricks and PySparkStrong T-SQL / data warehouse background, including stored procedures, functions, execution plans, indexing, CTEs, temp tables, and performance tuningExperience troubleshooting large datasets, data pipelines, ETL workflows, and reporting issuesStrong understanding of relational database concepts and modern data platform supportExcellent communication skills with the ability to explain complex technical issues clearlyNice to HaveAzure Data Factory experienceADLS file format expertise: Parquet/Delta vs. CSV/ExcelPower BI, Alteryx, or advanced Excel