Informatica Iics Lead Developer information
See salary details
$48.08 - $50.50
8% of jobs
$50.50 - $52.93
11% of jobs
$53.60 is the 25th percentile. Wages below this are outliers.
$52.93 - $55.35
19% of jobs
The median wage is $57.26 / hr.
$55.35 - $57.78
15% of jobs
$57.78 - $60.21
16% of jobs
$61.53 is the 75th percentile. Wages above this are outliers.
$60.21 - $62.63
11% of jobs
$62.63 - $65.06
2% of jobs
$65.06 - $67.48
0% of jobs
$67.48 - $69.91
0% of jobs
$69.91 - $72.33
9% of jobs
$72.33 - $74.76
8% of jobs
How much do informatica iics lead developer jobs pay per hour?
As of Sep 13, 2026, the average hourly pay for informatica iics lead developer in the United States is $59.68, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $62.50 per hour, depending on experience, location, and employer.
An Informatica IICS Lead Developer designs, develops, and manages data integration solutions using Informatica Intelligent Cloud Services (IICS). They are responsible for leading project teams, creating data pipelines, implementing ETL (extract, transform, load) processes, and ensuring secure and efficient data movement between cloud and on-premises systems. Additionally, they collaborate with stakeholders to understand business requirements, optimize data workflows, and maintain best practices for data governance and quality.
To thrive as an Informatica IICS Lead Developer, you need deep expertise in data integration concepts, Informatica Intelligent Cloud Services (IICS), ETL processes, and a background in computer science or a related field. Familiarity with cloud platforms (like AWS or Azure), REST/SOAP APIs, and relevant Informatica certifications are highly valued. Strong problem-solving abilities, leadership, and effective communication set standout professionals apart in this role. These skills ensure efficient data solutions, seamless collaboration, and successful project delivery in dynamic enterprise environments.
Informatica IICS Lead Developers often encounter challenges related to managing data integration across various cloud and on-premises sources, ensuring data security and compliance, and optimizing performance for large data volumes. Coordinating between cross-functional teams, such as data architects and business analysts, is essential to align integration processes with business requirements. Additionally, adapting to rapidly evolving cloud technologies and troubleshooting complex data flows can require continuous learning and proactive problem-solving.
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