Data Lake Data Integration Specialist

Solero Workforce Solutions; Florida; On-site; USD 110,000 - 150,000; Full time

Job summary

Solero Workforce Solutions seeks an experienced Data Lake Data Integration Specialist to design, implement, and support enterprise data integration from ERP, HCM, financial systems, APIs, and cloud sources into data lake and lakehouse environments. The role enables BI, analytics, and AI initiatives in a large public-sector setting.

The ideal candidate has public-sector experience, cloud modernization skills, and a track record handling high-volume, complex datasets with governance and security

Qualifications

• Public-sector, government, education, or regulated-industry experience.
• Cloud data-platform and modernization experience.
• Experience integrating ERP, HCM, financial, or other enterprise systems.
• Experience working with high-volume and complex datasets.
• Knowledge of data governance, security, privacy, and master-data practices.
• Experience supporting Power BI, analytics, machine learning, or AI environments.

Skills

Public sector experience

Data integration

Cloud data-platform

High-volume data

Governance & security

Tools

Microsoft Azure

Microsoft Fabric

Databricks

AWS

Job description

POSITION SUMMARY

Solero Workforce Solutions is seeking an experienced Data Lake Data Integration Specialist to develop, implement, and support enterprise data integration solutions within a large public-sector environment.

The specialist will build and maintain secure, scalable data pipelines that integrate information from enterprise applications, databases, APIs, cloud platforms, and external sources into data lake and lakehouse environments. This position supports reporting, business intelligence, analytics, AI, and enterprise data-modernization initiatives.

PREFERRED QUALIFICATIONS

• Public-sector, government, education, or regulated-industry experience.
• Cloud data-platform and modernization experience.
• Experience integrating ERP, HCM, financial, or other enterprise systems.
• Experience working with high-volume and complex datasets.
• Knowledge of data governance, security, privacy, and master-data practices.
• Experience supporting Power BI, analytics, machine learning, or AI environments.

Relevant Microsoft Azure, Microsoft Fabric, Databricks, AWS, or comparable data-integration certifications are preferred.