Data Architect

• Define and architect a scalable enterprise-wide data platform to support diverse business needs.
• Translate business vision into data architecture, design patterns, and implementation roadmaps.
• Develop proof of concepts to validate architectural decisions and accelerate adoption.
• Design solutions using modern cloud data platforms and technologies.
• Collaborate with engineering teams to ensure alignment and successful implementation.
• Incorporate cost optimization strategies into platform design.
• Deliver incremental value through phased implementation aligned with business goals.
• Ensure high-quality, secure, and governed data access across the organization.

• Proven experience as a Data Architect designing large-scale data platforms.
• Strong expertise in cloud data ecosystems, with a preference for Azure and experience with AWS.
• Hands-on experience with modern data platforms and data engineering practices.
• Experience with CI/CD tools and version control systems.
• Strong understanding of data modeling, governance, and scalability.
• Ability to translate strategic requirements into technical solutions.

Should Have:

• Experience in finance or revenue-related domains.
• Familiarity with enterprise platforms such as ERP systems.
• Exposure to AI and advanced analytics tools and their integration into data platforms.

Skills:

• Data architecture and platform design.
• Cloud data engineering and integration.
• Data modeling and governance.
• Performance optimization and scalability.
• Stakeholder collaboration and technical leadership.

Qualification And Education:

• Bachelor s or Master s degree in Computer Science, Information Systems, or a related field.

Pay Range: $75hr - $80hr

• We are seeking a highly skilled Data Architect to lead the design and evolution of a Revenue Data Platform.
• The ideal candidate will architect scalable, enterprise-grade data solutions that enable unified data access, drive innovation, and deliver actionable insights across business units. This role requires a balance of strategic vision and hands-on execution to build efficient, secure, and governed data platforms.