Support Technical Lead Data Analytics / Azure / Databricks

MetaSense Inc
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Microsoft Excel
Big Data
Data Infrastructure
ETL
Data Warehousing
Relational Databases
Python
Microsoft SQL Server
Microsoft Business Intelligence
Operational Databases
Oracle Applications
Performance Tuning
Power BI
SAP Applications
SQL Stored Procedures
SQL Server Integration Services
T-SQL
Parquet
Cloud Platform System
Azure
Indexer
PySpark
Data Analytics
Data Pipelines
Alteryx
Databricks

Job 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

Requirements

  • 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

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