Principal Specialist, Engineering and Extract, Transform, Load (Operational Technology)

Job description

The role enables the employer to unlock operational technology data value by building scalable, secure, and reliable OT data engineering capabilities enterprise‑wide. It transforms industrial system data into trusted, analytics‑ready information that supports operational performance, decision‑making, and digital transformation. It defines engineering standards, governance, and integration patterns to deliver high‑quality OT data products across multiple sites. Through robust pipeline design and architectural leadership it improves data availability, reliability, and transparency while ensuring security and compliance. It bridges OT environments with enterprise data platforms to accelerate analytics adoption, operational insights, and AI‑driven innovation.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Industrial Engineering, or related discipline
• Master’s degree preferred
• exposure to Operational Technology (OT) systems
• 10-15 years experience in data engineering, ETL, and enterprise data integration
• experience working within OT, industrial, manufacturing, mining, or operational data ecosystems
• proven experience designing and implementing historian and OT system integration solutions at enterprise scale
• experience establishing engineering standards, governance frameworks, and scalable data delivery practices
• proficiency in OT Data Engineering
• proficiency in ETL & Data Integration Architecture
• proficiency in Industrial Historians & Time‑Series Data Management
• proficiency in Data Quality & Lineage Management
• proficiency in OT‑to‑IT Integration Design
• proficiency in Enterprise Data Product Development
• proficiency in Data Pipeline Reliability Engineering
• proficiency in Platform Performance Optimization
• proficiency in Data Governance & Security
• proficiency in Solution Architecture & Technical Assurance
• proficiency in Vendor Management & Delivery Oversight
• proficiency in Enterprise Data Strategy Execution
• stakeholder management
• cross‑functional technical leadership
• influencing & decision making
• vendor & partner collaboration
• communication & knowledge sharing
• change leadership.

Skills