Enterprise Data Architect

TSP Talent; Springfield (IL); On-site; USD 120,000 - 190,000; Full time

Job summary

TSP talent is seeking a Lead Enterprise Data Architect to drive modernization and design scalable, secure cloud-based data platforms, including data lakes and lakehouses, for strategic analytics initiatives.

You will collaborate with business and technology partners to model data, define integration practices, prototype AI-enabled analytics, and guide technology choices across the enterprise.

Qualifications

• Strong expertise in enterprise data architecture and modernization.
• Experience designing cloud data platforms, data lakes, and lakehouses.
• Proficiency in data modeling, integration, and interoperability practices.
• Ability to prototype, assess technologies, and translate architecture into implementation guidance.
• Strong cross-functional collaboration skills with technical and business partners.

Responsibilities

• Architect and modernize enterprise data platforms for scalability, reliability, and security.
• Collaborate with business and technology stakeholders to design data models and define data integration practices.
• Develop prototypes to validate approaches for analytics and AI use cases.
• Evaluate and recommend data and platform technologies to support modernization goals.
• Guide implementation of analytics and AI capabilities through sound data architecture.

Skills

Enterprise data architecture

Cloud data platforms

Data lakes and lakehouses

Data modeling

Data integration

Architecture prototyping

Cross-functional collaboration

Job description

Role Summary

Lead enterprise data architecture and drive modernization efforts to build scalable, secure cloud-based data platforms, including data lakes and lakehouses.

Role Summary

Lead enterprise data architecture and drive modernization efforts to build scalable, secure cloud-based data platforms, including data lakes and lakehouses.

Key Responsibilities

• Architect and modernize enterprise data platforms for scalability, reliability, and security.
• Collaborate with business and technology stakeholders to design data models and define data integration practices.
• Develop prototypes to validate approaches for analytics and AI use cases.
• Evaluate and recommend data and platform technologies to support modernization goals.
• Guide implementation of analytics and AI capabilities through sound data architecture.

Qualifications & Skills

• Strong expertise in enterprise data architecture and modernization.
• Experience designing cloud data platforms, data lakes, and lakehouses.
• Proficiency in data modeling, integration, and interoperability practices.
• Ability to prototype, assess technologies, and translate architecture into implementation guidance.
• Strong cross-functional collaboration skills with technical and business partners.