Artificial Intelligence Data Architect and Engineer

LOGISNEXT AMERICAS INC•Houston, TX

22h•$130,000 - $160,000•Hybrid

About The Position

The AI Data Architect & Engineer plays a critical role in building and scaling the company’s long‑term data and AI capabilities. This dual-role position is responsible for both architecting enterprise-grade data platforms and hands-on development of data pipelines and integrations that support telematics, operational systems, analytics, predictive maintenance, and AI-driven applications. The ideal candidate combines strong data-engineering execution skills with architectural thinking and experience working with industrial IoT, telemetry, and other high‑volume machine-generated data. This role requires a balance of strategic design leadership and roll‑up‑your‑sleeves implementation.

Requirements

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

Nice To Haves

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

Responsibilities

Design, implement, and evolve a scalable enterprise data architecture that supports telematics, operational, and enterprise data, including foundational data models, schemas, integration frameworks, and lakehouse architectures, while ensuring performance, reliability, cost efficiency, and scalability.
Build, maintain, and optimize cloud-based data pipelines and large-scale data processing workflows to support analytics, AI, and enterprise reporting needs.
Develop and manage ingestion pipelines for high-volume streaming and batch telemetry data from forklifts, sensors, gateways, APIs, and edge devices, ensuring reliable, scalable, and standardized data capture.
Integrate data across enterprise systems including ERP, CRM, service management, parts and warranty systems, and vendor telematics platforms, while supporting master data alignment across assets, customers, equipment, and locations.
Standardize, normalize, enrich, and prepare machine-generated and operational data to support predictive maintenance, operational intelligence, predictive analytics, and generative AI or RAG-based applications.
Collaborate with IT, Analytics, Product Management, Service teams, and third-party vendors to translate business and operational requirements into scalable technical solutions, data integrations, and long-term data strategy contributions.
Partner with internal technology stakeholders to support data governance, security, access controls, observability, DevOps/DataOps practices, and ongoing optimization of platform performance and cloud costs.

Benefits

Medical, dental, and vision benefits
Paid Vacation, Sick Time, and Paid Holidays
Profit Sharing Opportunities
Flexible Spending and HSA Accounts
401k with automatic company contribution and company match
Short-term and long-term disability insurance
Life, Dependent Life, and AD&D Insurance
Paid Parental Leave (Includes 6-8 weeks of maternity leave and 5 days of paternity leave)
Employee Assistance Program
Employee Discounts
On-site fitness center (Houston)
On-the-job training and development