Enterprise Data Lake Architect for Cloud & AI Analytics

Solero Workforce Solutions; Florida; On-site; USD 140,000 - 170,000; Full time

Job summary

Solero Workforce Solutions is seeking a Data Lake Architect to design, implement, and optimize scalable enterprise data lake and lakehouse solutions within a large public-sector environment. The role collaborates with Data Architects, Data Engineers, BI Developers, cybersecurity teams, application teams, and business stakeholders to advance analytics, reporting, AI, and data modernization initiatives.

The ideal candidate will establish architecture standards for ingesting, storing, processing,

Qualifications

• Public-sector experience required.
• Cloud data modernization experience.
• ERP/HCM and enterprise system integrations.
• Experience with high-volume and complex datasets.
• Experience implementing data-governance and security frameworks.
• Experience supporting Power BI and AI analytics platforms.

Skills

Public-sector experience

Cloud data modernization

ERP/HCM integration

High-volume datasets

Data governance & security

Power BI & AI analytics support

Tools

Azure

Databricks

AWS

TOGAF

Job description

POSITION SUMMARY

Solero Workforce Solutions is seeking an experienced Data Lake Architect to design, implement, and optimize scalable enterprise data lake and lakehouse solutions within a large public-sector environment.

The Data Lake Architect will establish architecture standards for ingesting, storing, processing, securing, governing, and accessing structured, semi-structured, and unstructured data. This role will collaborate with Data Architects, Data Engineers, BI Developers, cybersecurity teams, application teams, and business stakeholders to support enterprise analytics, reporting, AI, and data modernization initiatives.

PREFERRED QUALIFICATIONS

• Public-sector, government, education, or regulated-industry experience.
• Enterprise cloud and data-modernization experience.
• Experience integrating ERP, HCM, financial, and other enterprise systems.
• Experience with high-volume and complex datasets.
• Experience implementing data-governance and security frameworks.
• Experience supporting Power BI, advanced analytics, machine learning, or AI platforms.

Relevant Microsoft Azure, Microsoft Fabric, Databricks, AWS, DAMA/CDMP, TOGAF, or comparable data/cloud certifications are preferred.