Principal Specialist, Engineering and ETL (OT)

Job Description

Key Accountabilities

• Define OT data engineering and ETL standards, patterns, and reference architectures covering batch, streaming, and near-real-time ingestion needs.
• Establish ingestion patterns for historians and OT source systems, including normalization, unit standardization, quality flags, and tag mapping processes.
• Design and assure robust pipeline reliability (idempotency, backfill, late-arriving data handling, reconciliation, alerting) appropriate for OT contexts.
• Ensure OT pipelines comply with security and segmentation requirements; partner with OT cyber and platform security teams for governance-by-design.
• Oversee and guide OT data transformation logic to produce curated OT data products aligned to enterprise models and governance requirements.
• Provide architectural oversight for site onboarding, handling variability across plants and ensuring consistent delivery standards across implementations.
• Review and assure vendor and internal deliverables; provide technical direction and quality gates for complex OT engineering initiatives.
• Drive continuous improvement through performance tuning, cost optimization, observability, and operational resilience improvements for OT workloads.

Minimum Qualification

• Bachelor’s degree in Computer Science/Engineering, Data Engineering, Industrial Engineering, or related field.
• Master’s degree preferred; OT systems exposure is an advantage.

Minimum Experience

• 10–15 years of experience in data engineering/ETL with demonstrated exposure to OT/industrial data environments.
• Experience designing ingestion from historians/OT systems and delivering analytics-ready OT datasets at enterprise scale.

Skills

• Strong OT data engineering expertise including ingestion from historians, handling time-series characteristics, and ensuring data quality.
• Ability to design scalable, secure OT-to-IT data pipelines with governance, lineage, and auditability.
• Advanced pipeline engineering practices (reliability, observability, orchestration, performance tuning).
• Stakeholder leadership across plant operations, OT engineering, IT, and analytics consumers.
• Vendor assurance and technical governance for complex multi-site delivery programs.