Data Architect

Intelli Trans, (ITL), a subsidiary of Roper Technologies, Inc. (NYSE: ROP) is seeking a Data Architect to join our team hybrid in Atlanta, GA.

The Data Architect will lead the strategic design and implementation of data architecture for Intelli Trans' 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.

Include the following. Other duties may be assigned.

• Define and communicate the overall data architecture strategy and roadmap for Intelli Trans' 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 No
  
  SQL, graph databases, data mesh architecture, streaming analytics, and cloud‑native data platforms
• Mentor & develop data engineers, database administrators, & analytics teams, fostering a culture of data excellence
• Direct performance tuning, capacity planning, and optimization of database systems and data platforms, including for Oracle and Postgre
  
  SQL databases.
• Represent Intelli Trans in technical forums and client discussions regarding data architecture and analytics capabilities
• Develop and maintain data architecture documentation, data dictionaries, and conceptual/logical/physical data models, including ER diagrams, dimensional models, and multi‑tenant schemas.
• Lead technical due diligence for data‑related acquisitions, partnerships, and technology investments
• Enable near real‑time delivery of data changes directly to customers for consumption within their own data lakes.
• Architect and grow modern data lake and environments, ideally leveraging Databricks as the strategic platform
• Collaborate with engineering teams and offshore resources to deliver scalable, reliable, and well‑governed data systems.
• Establish standards, best practices, and architectural patterns for enterprise data management.
• Build or enhance data platforms that support AI/ML workloads, including data readiness, optimization,…