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# Azure data lead

- **Company:** Saim Technologies
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Big Data, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Data Processing, Data Storage Technologies, Azure Data Factory, Snowflake, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/7f1c49eb-c35b-4780-970b-ad18c44062c8

## About the Role

1. Proficiency in snowflake architecture, implementation, and optimization.
 2. Handson experience with azure data factory (adf) including data pipeline development, integration, and monitoring.
 3. Strong knowledge of data bricks for big data processing, data engineering, and machine learning workflows.
 4. In-depth understanding of data warehousing concepts, etl processes, and data modeling techniques.
 5. Excellent problem-solving skills and ability to work in a fast paced environment.
 6. Strong communication and leadership skills to effectively collaborate with team members and stakeholders.

## Description

The Technical Lead will be responsible for leading and managing the implementation, maintenance, and support of Snowflake, Azure Data Factory (ADF), and Data Bricks solutions. The role involves overseeing the technical aspects of projects related to data engineering, data integration, and data processing using these platforms. (1.) Key Responsibilities

 1. Lead the design, development, and deployment of snowflake, azure data factory (adf), and data bricks solutions according to project requirements.
 2. Collaborate with cross functional teams to gather data requirements, design data pipelines, and ensure data quality and integrity.
 3. Provide technical guidance and mentorship to team members on best practices for utilizing snowflake, azure data factory (adf), and data bricks.
 4. Troubleshoot and resolve technical issues related to data pipelines, data transformation, and data storage in snowflake, azure data factory (adf), and data bricks.
 5. Stay updated on industry trends and best practices related to snowflake, azure data factory (adf), and data bricks to recommend and implement improvements in existing data processes.


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