Senior AI Data Platform Architect & Engineer (Hybrid)

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

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