Artificial Intelligence Data Architect and Engineer

Logisnext Americas Inc.; Grand Rapids (MI); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical benefits

Paid time off

Profit sharing

401k matching

On-site fitness center

Job summary

Logisnext Americas Inc. seeks an AI Data Architect & Engineer to design and scale enterprise data platforms and to build data pipelines for telematics, operational, and enterprise data.

You will craft foundational data models, schemas, and lakehouse architectures while ensuring performance and cost efficiency. You will develop ingestion pipelines for high-volume telemetry data, integrate ERP/CRM and vendor platforms, and enable predictive maintenance and AI-driven analytics across assets and

Qualifications

• 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 with modern data platforms such as Databricks, Snowflake, Azure Data Factory, and/or Kafka or other event streaming tech.
• 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.

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 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.

Skills

SQL

Python

ETL/ELT pipelines

Data modeling

Schema design

Cloud platforms

Azure

Databricks

Snowflake

Kafka / event streaming

APIs

IoT / telematics data

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

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 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, and enterprise data, including foundational data models, schemas, integration frameworks, and lakehouse architectures, while ensuring performance, reliability, cost efficiency, and scalability.

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

• 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

Agency Disclaimer

Logisnext Americas Inc. does not accept unsolicited resumes from third party vendors. Any unsolicited resumes from a third party will become the property of the company to use at the company’s discretion, with the understanding that Mitsubishi Logisnext Americas, Inc. will not be billed a fee for any such resumes. If a company is designated as an approved vendor, then said company can only provide assistance on those positions requested via a formal written agreement of support.