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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. To be considered for this role, all applicants must submit a full and complete application through our careers page. 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.