Senior Data & AI Platform Engineer

Sabert Corporation; Sayreville (NJ); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

401(k)

Life insurance

Disability insurance

Job summary

Sabert Corporation seeks a Data & AI Platform Engineer to design, build, and optimize scalable data platforms and AI‑driven solutions that support enterprise‑wide decision‑making.

You will integrate data across manufacturing, supply chain, finance, sales, HR, and customer service to deliver actionable insights, predictive capabilities, and intelligent automation that improve forecasting and operational efficiency in a fast‑paced, manufacturing environment.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Information Systems, or a related field.
• Minimum of 5+ years of experience in data engineering, data science, or related roles.
• Proven experience building and managing cloud-based data platforms and analytics solutions in enterprise environments.
• Experience working with ERP, MES, CRM, or similar enterprise systems, preferably in manufacturing or CPG.

Responsibilities

• Design, develop, and maintain scalable data pipelines integrating structured and unstructured data from systems like SAP S/4HANA, MES, SCADA, CRM, and other enterprise platforms.
• Build and manage modern enterprise data environments, including Microsoft Fabric, Azure-based lakehouse architectures, and ETL/ELT pipelines.
• Ensure high-quality, governed data through data quality frameworks, validation processes, and consistency checks.
• Establish and maintain master data management (MDM) practices and enforce enterprise data governance standards.
• Enable real-time and near real-time data ingestion and processing from manufacturing systems, industrial IoT devices, and OT environments.
• Develop, validate, and deploy advanced analytics and machine learning models, including demand forecasting, predictive maintenance, and supply chain optimization.
• Build and operationalize end-to-end ML pipelines for anomaly detection, process optimization, and performance improvement.
• Collaborate with cross-functional partners to translate business challenges into scalable analytical solutions and production-ready AI models.
• Perform exploratory data analysis to identify patterns and insights for continuous improvement across operations.
• Design, deploy AI-powered solutions like conversational agents, copilots, and workflow automation tools to boost productivity.
• Leverage AI frameworks, LLMs, and agent-based architectures to accelerate innovation across functions.
• Establish reusable AI solution patterns, documentation, and governance for responsible AI adoption.
• Monitor, evaluate, and improve analytics and AI solutions based on performance metrics and stakeholder feedback.
• Serve as liaison between IT and OT to align data solutions with plant operations and enterprise priorities.
• Define and enforce enterprise data security, governance, and compliance standards.

Skills

Data engineering

Python

SQL

Azure

Databricks

Snowflake

Power BI

MLOps

SAP ecosystem

Industrial IoT

Education

Bachelor's degree

Master's degree

Tools

Microsoft Fabric

Azure

Databricks

Snowflake

SAP

Power BI

Job description

Sabert Corporation seeks a Data & AI Platform Engineer to design, build, and optimize scalable data platforms and AI‑driven solutions that support enterprise‑wide decision‑making.

You will integrate data across manufacturing, supply chain, finance, sales, HR, and customer service to deliver actionable insights, predictive capabilities, and intelligent automation that improve forecasting and operational efficiency in a fast‑paced, manufacturing environment.