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# Title: Azure Data Lead

- **Company:** StratG Inc
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Engineering, Information Engineering, Extract Transform Load (ETL), Data Systems, Software Design Patterns, Distributed Systems, Apache Hive, Python (Programming Language), Microsoft SQL Server, Object-Oriented Software Development, Oracle (Applications), Oracle SQL Developer, Performance Tuning, Standard Sql, Azure Data Lake, Software Engineering, SQL Databases, Data Processing, Azure Data Factory, Apache Spark, Fastapi, Data Lakes, Pyspark, Data Lakehouse, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** August 26, 2026
- **Apply:** https://www.dice.com/job-detail/b154d425-539d-4905-9337-4dd92e8c7078

## About the Role

Core Skills:

 * Python (expert), OOP, and advanced Python design patterns
 * PySpark, Spark SQL, and SQL
 * Azure Databricks, Azure Data Factory, ADLS Gen2
 * Apache Spark, Delta Lake, Data Lakehouse architecture, distributed computing

Must-have: Python, Azure Databricks, Azure Data Factory (ADF), MS SQL, Oracle PL/SQL.

Good to have: PySpark; certifications in Azure Data Factory, Azure Databricks, SQL, Oracle, or Python.

Experience & Expected Outcome

The ideal candidate for this role will be a senior data engineering leader with proven delivery of large-scale Databricks modernization programs. The expected outcome is to have existing Python applications converted into scalable, cost-efficient, enterprise-grade data solutions on Azure Databricks with proven performance parity.

## Description

The Azure Data Lead will be responsible for leading the modernization and migration of existing Python object-oriented applications into scalable PySpark and Spark SQL data-processing solutions on Azure Databricks. This role requires a strong blend of software engineering, data engineering, cloud architecture, and performance optimization., * Analyze existing Python OOP applications and redesign single-node processing logic for distributed Spark execution.

 * Design, develop, and deploy enterprise-scale data pipelines on Azure Databricks; build reusable PySpark frameworks and utility modules.
 * Implement Delta Lake solutions using the Bronze-Silver-Gold architecture.
 * Build robust ETL/ELT pipelines with Azure Data Factory, ADLS Gen2, and Azure Synapse Analytics.
 * Implement data quality, reconciliation, validation, and monitoring frameworks.
 * Optimize Spark jobs (partitioning, bucketing, caching, broadcast joins, Adaptive Query Execution, Delta optimization) and benchmark converted applications against original Python implementations.


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