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# Lead Data Engineer - Azure Databricks & Snowflake

- **Company:** Diverse Lynx LLC
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Extract Transform Load (ETL), Data Migration, Data Systems, Data Warehousing, DevOps, Dimensional Modeling, Apache Hive, Python (Programming Language), Performance Tuning, Systems Development Life Cycle, Power BI, Azure Data Lake, SQL Databases, Enterprise Data Management, Scripting, Cloud Platform System, Azure Data Factory, Large Language Models, Snowflake, Git, Microsoft Fabric, Data Lakes, Pyspark, Star Schema, Cloud Migration, Data Pipelines, Databricks
- **Published:** November 14, 2026
- **Apply:** https://www.careerbuilder.com/job-details/lead-data-engineer-azure-databricks-snowflake-boston-ma--4288f9c2-10f7-4bbf-8ec6-0d174b0d9333

## About the Role

Microsoft Windows Azure, Snowflake Schema, Microsoft Windows Azure, Snowflake Schema, Cloud Computing, Data Warehousing, Scalable System Development, Amazon Web Services (AWS), Python Programming/Scripting Language, Data Analysis, Seeking an experienced Senior Data Engineer with 15+ years of expertise in building scalable cloud-based data platforms, data lakes, and data warehouses. The ideal candidate will have strong hands-on experience with Azure, Databricks, Snowflake, PySpark, Python, and AWS, along with a proven ability to deliver enterprise data and analytics solutions., * Azure Databricks, Azure Data Factory (ADF), Azure Data Lake (ADLS), Synapse Analytics.

 * Snowflake, DBT, Python, PySpark, Spark SQL, SQL.
 * AWS services including S3, Glue, EMR, Lambda, and Athena.
 * Data warehousing, dimensional modeling, and ETL/ELT development.
 * Git, Azure DevOps, and Agile delivery methodologies.

Preferred Skills:

 * Microsoft Fabric, Power BI, and AI/LLM-enabled data solutions.
 * Experience leading cloud modernization and data migration initiatives.

## Description

* Design and develop data pipelines, ETL/ELT frameworks, and Lakehouse solutions using Azure, Databricks, and Snowflake.
 * Build and Eligible to workimize large-scale data processing solutions using Python, PySpark, and SQL.
 * Develop data models, data warehousing solutions, and cloud migration strategies.
 * Implement data quality, governance, monitoring, and performance tuning best practices.
 * Collaborate with business stakeholders, architects, and development teams to deliver analytics and reporting solutions.
 * Support CI/CD and DevOps processes using Git and Azure DevOps.