Artificial Intelligence Data Architect and Engineer

Logisnext Americas

Posted 29d ago

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Design and evolve a scalable enterprise data architecture supporting telematics, operational, and enterprise data
Build, maintain, and optimize cloud-based data pipelines and large-scale data processing workflows
Develop and manage ingestion pipelines for high-volume streaming and batch telemetry data from forklifts, sensors, gateways, APIs, and edge devices
Integrate data across enterprise systems including ERP, CRM, service management, parts and warranty systems, and vendor telematics platforms
Standardize, normalize, enrich, and prepare machine-generated and operational data for predictive maintenance, analytics, and AI applications
Collaborate with IT, Analytics, Product Management, Service teams, and third-party vendors to translate requirements into technical solutions
Partner with internal stakeholders to support data governance, security, access controls, observability, and DevOps/DataOps practices

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field
7+ years of experience in data engineering, data architecture, or cloud-based data platforms
Strong proficiency in SQL and Python
Proven experience building and supporting ETL/ELT pipelines and large-scale data processing workflows
Hands-on experience with cloud platforms, with Microsoft Azure preferred
Experience working with modern data platforms such as Databricks, Snowflake, Azure Data Factory, and/or Kafka or other event streaming technology
Strong understanding of data modeling, schema design, database optimization, and data integration patterns
Experience working with APIs, JSON, streaming data, and IoT or telematics data structures

Experience in industrial equipment, fleet management, logistics, manufacturing, automotive telematics, or IoT platforms
Familiarity with predictive maintenance, condition monitoring, or asset optimization concepts
Experience supporting machine learning or AI-driven applications
Exposure to edge computing or hybrid cloud and edge architectures
Experience working with data governance considerations across multiple geographic regions, including North America and Europe
Prior collaboration with third-party vendors or OEMs on data integrations and platform implementations

Skills