IntelliTrans · 9 hours ago
Data Architect
Atlanta Metro
Full-time
Hybrid
Senior Level, Lead/Staff
10+ years expIntelliTrans, a subsidiary of Roper Technologies, Inc., is seeking a Data Architect to join their team. This senior role is responsible for the strategic design and implementation of data architecture for IntelliTrans' Transportation Management Systems, ensuring scalable and secure data solutions that meet business intelligence and operational requirements.
SoftwareSupply Chain Management
Responsibilities
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 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 PostgreSQL databases
Represent IntelliTrans 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, and pipelines feeding AI models
Qualification
Required
Master's degree in Computer Science, Data Science, Information Systems, or related technical field
Minimum of 10+ years of progressive experience in data management and architecture, with at least 5 years in senior data architecture leadership roles
Databricks 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 customers
Strong 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 frameworks; Data Governance: Lineage tracking, data catalogs, metadata management; Security: Encryption at rest/in transit, access controls, data masking, tokenization
Experience with business intelligence and analytics tools: BI Platforms: Tableau, Power BI, Looker, or similar; Reporting: SQL-based reporting, embedded analytics
Understanding of DevOps practices for data platforms: Version Control: Git for database schemas and data pipelines; CI/CD: Automated testing, deployment automation for data assets; Infrastructure as Code: Terraform, CloudFormation for data infrastructure
Preferred
Experience 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, Athena; Cloud Architecture: Multi-region replication, disaster recovery, data sovereignty
Experience with AI/ML data architectures and feature stores
Knowledge of AI-accelerated development and data analysis tools (Anthropic Claude Code, Microsoft Copilot)
Experience with data science platforms and MLOps: SageMaker, Databricks, MLflow; Feature engineering and model serving infrastructure
Knowledge of API design for data services (RESTful, GraphQL)
Experience in Transportation, Logistics, or Supply Chain Management systems
Understanding of transportation industry data standards (EDI, API specifications)
Experience with geospatial data and mapping technologies
Company
IntelliTrans
IntelliTrans provides unified and proactive solutions to manage complex supply chain needs.
201-500 employees
H1B Sponsorship
IntelliTrans has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
2021 (3)
Funding
Current Stage
Growth StageLeadership Team
Jim Bell
Chief Technology Officer
Gordy Ferguson
Director, Enterprise Sales
Recent News
2026-01-23
2026-01-22
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