Etl Technical Lead information
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$115.2K is the 25th percentile. Wages below this are outliers.
$110K - $126K
11% of jobs
The median wage is $156.9K / yr.
$142K - $158K
8% of jobs
$196.7K is the 75th percentile. Wages above this are outliers.
$190K - $206K
43% of jobs
How much do etl technical lead jobs pay per year?
As of Aug 16, 2026, the average yearly pay for etl technical lead in the United States is $156,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $205,000.00 per year, depending on experience, location, and employer.
ETL Technical Leads often encounter challenges such as coordinating data mapping across disparate systems, handling data quality issues, and ensuring optimal performance of ETL processes. These challenges can be addressed by establishing clear data governance standards, maintaining thorough documentation, and utilizing automated testing and monitoring tools. Additionally, close collaboration with business analysts, data architects, and QA teams helps ensure alignment on requirements and timely resolution of issues.
ETL Technical Leads are professionals responsible for overseeing the design, development, and implementation of ETL (Extract, Transform, Load) processes within data integration projects. They lead teams that create and maintain data pipelines, ensuring data is accurately extracted from source systems, transformed according to business rules, and loaded into data warehouses or other repositories. ETL Technical Leads also collaborate with business analysts, data architects, and developers to ensure data quality, optimize performance, and resolve technical issues. Their role is critical for organizations that rely on accurate, timely, and integrated data for analytics and decision-making.
To thrive as an ETL Technical Lead, you need expertise in data warehousing, ETL processes, and strong SQL skills, often supported by a degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or SSIS, and experience with database management systems are typically required, along with relevant certifications. Leadership, problem-solving, and effective communication are crucial soft skills for guiding teams and collaborating with stakeholders. These skills ensure efficient data integration, high-quality project delivery, and successful team management in data-driven environments.
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