Artificial Intelligence Data Architect and Engineer

Logisnext Americas Inc.; Houston (TX); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Paid vacation

Paid sick time

Paid holidays

Profit sharing

401k with company match

On-site fitness center (Houston)

Flexible Spending and HSA

Life & AD&D insurance

Parental leave

Employee discounts

Employee assistance program

Job summary

Logisnext Americas Inc. is seeking an AI Data Architect & Engineer to design enterprise data architecture and hands-on data pipelines supporting telematics, analytics, and AI-driven applications.

You will work with ERP, CRM, service, and vendor systems to standardize data for predictive maintenance and operational intelligence. The role requires 7+ years in data engineering or architecture, strong SQL/Python skills, and experience with Azure, Databricks, Snowflake, Kafka.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or 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 with Databricks, Snowflake, Azure Data Factory, Kafka or similar event streaming tech.
• Strong understanding of data modeling, schema design, and data integration knowledge.
• Experience with APIs, JSON, streaming data, and IoT data structures.

Responsibilities

• Design, implement, and evolve scalable enterprise data architecture for telematics and enterprise data.
• Build and optimize cloud-based data pipelines for analytics, AI, and reporting.
• Develop ingestion pipelines for high-volume telemetry data from forklifts and sensors.
• Integrate data across ERP, CRM, service, parts, and vendor telematics systems.
• Standardize and enrich data for predictive maintenance and AI applications.
• Collaborate with IT, Analytics, Product, Service, and vendors on data solutions.
• Support data governance, security, observability, and DevOps/DataOps practices.

Skills

SQL

Python

ETL/ELT pipelines

Data processing workflows

APIs/JSON/IOT data

Education

Bachelor’s degree in Computer Science or related

Tools

Azure

Databricks

Snowflake

Azure Data Factory

Kafka

Job description

About Us

Logisnext Americas Inc. has supported customers for more than 100 years as a technology-driven forklift manufacturer. In addition to being a forklift manufacturer, we are also a total solutions provider offering scalable products and services from material handling and automation to extensive fleet support.

About The Role

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.

What You Will Do

• 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.

When & Where

Hybrid Work Schedule: in the office 3 days a week. Travel less than 15%.

Qualifications

What you need to have:

• 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

What Would Be Nice To Have

• 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

What We Offer

• 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

The specific salary for a successful candidate will depend upon, among other legitimate factors, education, training, and/or experience.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Equal Opportunity Employer/Veterans/Disabled