Data Lead with Azure Data Factory (ADF), DataBricks
Company: TechDigital Group
Location: Dallas
Posted on: June 2, 2025
Job Description:
Data Lead with Azure Data Factory (ADF), DataBricksJob
SummaryThe 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.Key Responsibilities
- Lead the design, development, and deployment of Snowflake,
Azure Data Factory (ADF), and Data Bricks solutions according to
project requirements.
- Collaborate with cross-functional teams to gather data
requirements, design data pipelines, and ensure data quality and
integrity.
- Provide technical guidance and mentorship to team members on
best practices for utilizing Snowflake, Azure Data Factory (ADF),
and Data Bricks.
- Troubleshoot and resolve technical issues related to data
pipelines, data transformation, and data storage in Snowflake,
Azure Data Factory (ADF), and Data Bricks.
- 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.Skill
Requirements
- Proficiency in Snowflake architecture, implementation, and
optimization.
- Hands-on experience with Azure Data Factory (ADF) including
data pipeline development, integration, and monitoring.
- Strong knowledge of Data Bricks for big data processing, data
engineering, and machine learning workflows.
- In-depth understanding of data warehousing concepts, ETL
processes, and data modeling techniques.
- Excellent problem-solving skills and ability to work in a
fast-paced environment.
- Strong communication and leadership skills to effectively
collaborate with team members and stakeholders.
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Keywords: TechDigital Group, Euless , Data Lead with Azure Data Factory (ADF), DataBricks, Other , Dallas, Texas
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