Data Integration with Informatica Technical Lead
Goldenpick Technologies
Miami Lakes, FL, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Amazon Web Services
Cloud Computing
Data Architecture
Information Engineering
Data Governance
Data Integration
Extract Transform Load (ETL)
Metadata
Performance Tuning
Standard Sql
Data Processing
+4 more
Scripting
Informatica Powercenter
Snowflake
Data Pipelines
Requirements
- 7+ years of experience in data engineering or data integration, with deep hands-on experience using Informatica PowerCenter and/or IDMC.
- Strong understanding of ETL/ELT design principles, performance tuning, metadata, lineage, and data quality controls.
- Proven experience supporting business-critical, regulated datasets in production environments.
- Solid SQL skills and experience with scripting languages used in data processing.
- Ability to diagnose and resolve complex data pipeline failures under operational pressure.
- Clear communicator with the ability to collaborate across technical and non-technical teams.
- Exposure to modern data platforms tools such as Snowflake, AWS, dbt, or other cloud-based data environments, and their orchestration tools.
Preferred / Optional Experience (Nice to Have)
- Experience working in banking or financial services environments.
- Familiarity with hybrid architecture and phased modernization approaches.
- Cloud certifications (AWS or equivalent) are a plus, not a requirement.
CERTIFICATES, LICENSES, REGISTRATIONS
- AWS or other cloud provider certifications is a plus
KNOWLEDGE, SKILLS, AND ABILITIES
- Deep understanding of data integration principles, pipeline orchestration, data quality, and lifecycle management.
- Strong understanding of data architecture principles and modern data engineering practices.
- Strong leadership, communication, and stakeholder management skills.
- Strong analytical and problem-solving skills with the ability to interpret complex data sets.
- Excellent sense of urgency, ownership, and accountability
- Excellent verbal and written communication skills, with the ability to present technical concepts to non-technical stakeholders.
- Ability to drive change and innovation within an organization.
- Ability to lead cross-functional teams and work in a fast-paced environment.
- Strong organizational skills and attention to detail.
- Knowledge of data governance and data privacy regulations.
- Familiarity with Agile or hybrid project management methodologies.
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