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 SummaryThe 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 ResponsibilitiesDefine and communicate the overall data architecture strategy and roadmap for IntelliTrans' TMS platform, ensuring alignment with business objectives and analytics requirementsDesign and implement enterprise-scale data architectures for multi-tenant SaaS environments, including data warehousing, data lakes, and operational data storesEstablish and enforce data architecture standards, data modeling best practices, and data governance policies across all development teamsLead the design of scalable data pipelines, ETL/ELT processes, and real-time data integration solutions to support transportation operations and business intelligenceCollaborate with C-level executives, product management, and business stakeholders to translate data requirements into comprehensive technical solutionsOversee database design and optimization strategies for high-volume transactional systems and analytical workloadsGuide technology selection decisions for data platforms, analytics tools, and emerging data technologies including AI/ML frameworksLead data governance initiatives including data quality management, master data management, and metadata management programsEnsure data security, privacy compliance, and adherence to industry standards including GDPR, CCPA, SOC 2, and transportation industry regulationsDesign and implement data backup, recovery, and archival strategies for business-critical transportation dataDrive adoption of modern data engineering practices including artificial intelligence, relational and NoSQL, graph databases, data mesh architecture, streaming analytics, and cloud-native data platformsMentor & develop data engineers, database administrators, & analytics teams, fostering a culture of data excellenceDirect performance tuning, capacity planning, and optimization of database systems and data platforms, including for Oracle and PostgreSQL databases.Represent IntelliTrans in technical forums and client discussions regarding data architecture and analytics capabilitiesDevelop 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 investmentsEnable 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 platformCollaborate 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, and pipelines feeding AI models.Qualifications and BackgroundEducationMaster's degree in Computer Science, Data Science, Information Systems, or related technical fieldIndustry certifications:AWS Certified Data Analytics or Database SpecialtyCDMP (Certified Data Management Professional)Oracle Database certificationsExperienceRequired ExperienceMinimum of 10+ years of progressive experience in data management and architecture, with at least 5 years in senior data architecture leadership rolesDatabricks experience (required) — strong working proficiency with at least 2-4 years strongly preferred.Deep AWS data ecosystem experience, including design and hands-on engineering with structured, unstructured, relational, and NoSQL data.Database expertise in Oracle and PostgreSQL including schema design, indexing, and performance tuning.Proven track record of designing and implementing large-scale data architectures for multi-tenant SaaS platforms serving enterprise customersStrong data modeling skills: ability to design optimal models and produce professional ER diagrams.Near-expert experience optimizing databases for performance and scalability.Strong understanding of multi-tenant architectures, including schema isolation and workload management.Experience with both OLTP and OLAP systems, including modern data warehousing and ETL/ELT patterns.Experience with CDC, data streaming, and queuing systems (e.g., Kafka, Kinesis, Pulsar).Ability to architect data sharing solutions enabling customers to ingest data in their own data lakes.Experience designing or supporting data pipelines optimized for AI/ML workloads, including feature engineering, vector storage, model-ready datasets, or integration with AI platforms (e.g., SageMaker, Databricks ML, or similar).Comprehensive understanding of data governance and security:Data Quality: Profiling, validation, monitoring frameworksData Governance: Lineage tracking, data catalogs, metadata managementSecurity: Encryption at rest/in transit, access controls, data masking, tokenizationExperience with business intelligence and analytics tools:BI Platforms: Tableau, Power BI, Looker, or similarReporting: SQL-based reporting, embedded analyticsUnderstanding of DevOps practices for data platforms:Version Control: Git for database schemas and data pipelinesCI/CD: Automated testing, deployment automation for data assetsInfrastructure as Code: Terraform, CloudFormation for data infrastructurePreferred QualificationsExperience building data lakes that support AI or advanced analytics.Experience designing data architectures that feed or support AI/ML models.Previous ownership of enterprise data strategy or acting as the primary data expert within an organization.Strong knowledge of cloud data platforms and services:AWS: RDS, Redshift, Aurora, DMS, Glue, Lake Formation, AthenaCloud Architecture: Multi-region replication, disaster recovery, data sovereigntyExperience with AI/ML data architectures and feature storesKnowledge of AI-accelerated development and data analysis tools (Anthropic Claude Code, Microsoft Copilot)Experience with data science platforms and MLOps:SageMaker, Databricks, MLflowFeature engineering and model serving infrastructureKnowledge of API design for data services (RESTful, GraphQL)Experience in Transportation, Logistics, or Supply Chain Management systemsUnderstanding of transportation industry data standards (EDI, API specifications)Experience with geospatial data and mapping technologiesPerformance Skills / CompetenciesExceptional strategic thinking and technology vision capabilitiesStrong executive presence and ability to communicate complex technical concepts to non-technical stakeholdersProven track record of building and leading high-performing technical teamsExperience managing technical budgets and resource allocationStrong problem-solving skills with ability to balance technical excellence with business pragmatismExcellent written and verbal communication skills, including presentation and documentation abilitiesAbility to work effectively across global teams and different time zonesStrong analytical and decision-making capabilities under pressurePolished written and verbal communication skillsStrong teamwork skills, including the ability to work with teams in different geographic regions.Strong curiosity and drive to uncover root cause of incidents and find solutions.Strong desire to develop deep industry knowledge and increase autonomy as product and industry knowledge increases, ultimately becoming a mentor to other employees.Commitment to continuous learning and staying current with emerging technologiesIntelliTrans supports workforce diversity and is a committed equal opportunity. / Affirms affirmative action employer.Equal Opportunity Employer/Protected Veterans/Individuals with DisabilitiesThis employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor. #J-18808-Ljbffr