Data Architect

IntelliTrans, (ITL), a subsidiary of Roper Technologies, Inc.

(NYSE: ROP) is seeking a Data Architect to join our team hybrid in Atlanta, GA.

Job Summary:

The Data Architect will lead the strategic design and implementation of data architecture for IntelliTrans' Transportation Management Systems (TMS) platform and products.

This senior role is responsible for the architecture, modeling, performance optimization, and governance of enterprise-scale data solutions that support multi-tenant SaaS operations serving global transportation and logistics customers.

The Data Architect will collaborate with executive leadership, engineering teams, and business stakeholders to ensure our data infrastructure remains scalable, secure, performant, and aligned with business intelligence and operational requirements.

This position requires deep technical expertise in data management combined with strategic thinking and strong leadership skills to guide the evolution of our data platform supporting mission-critical transportation operations worldwide.

The Data Architect will set standards, define direction, and architect scalable solutions—particularly around AWS, Databricks, AI, multi-tenant databases, data lakes, and real-time data streaming.

 

Essential Duties and Responsibilities include the following.

Other duties may be assigned.


* Define and communicate the overall data architecture strategy and roadmap for IntelliTrans' TMS platform, ensuring alignment with business objectives and analytics requirements


* Design and implement enterprise-scale data architectures for multi-tenant SaaS environments, including data warehousing, data lakes, and operational data stores


* Establish and enforce data architecture standards, data modeling best practices, and data governance policies across all development teams


* Lead the design of scalable data pipelines, ETL/ELT processes, and real-time data integration solutions to support transportation operations and business intelligence


* Collaborate with C-level executives, product management, and business stakeholders to translate data requirements into comprehensive technical solutions


* Oversee database design and optimization strategies for high-volume transactional systems and analytical workloads


* Guide technology selection decisions for data platforms, analytics tools, and emerging data technologies including AI/ML frameworks


* Lead data governance initiatives including data quality management, master data management, and metadata management programs


* Ensure data security, privacy compliance, and adherence to industry standards including GDPR, CCPA, SOC 2, and transportation industry regulations


* Design and implement data backup, recovery, and archival strategies for business-critical transportation data


* Drive adoption of modern data engineering practices including artificial intelligence, relational and NoSQL, graph databases, data mesh architectur...