Principal Specialist, Data Delivery Management

Role Overview

Principal Specialist, Data Delivery Management at Ma'aden.

Role Purpose

Provide enterprise leadership for OT data engineering, enabling reliable ingestion, transformation, and availability of operational data for analytics, operations, and performance management. Define OT pipeline standards and assure that OT data is delivered with quality, lineage, security, and appropriate latency across sites. Define scalable patterns for integrating historians and industrial systems into enterprise platforms, guide teams through complex OT constraints, and ensure operational data products are sustainable and governed.

Key Responsibilities

Standards and Architecture

• 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.

Pipeline Reliability and Operations

• Design and assure robust pipeline reliability including idempotency, backfill, late-arriving data handling, reconciliation, and alerting appropriate for OT contexts.
• Drive continuous improvement through performance tuning, cost optimization, observability, and operational resilience improvements for OT workloads.

Security and Governance

• 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.

Site Onboarding and Implementation

• Provide architectural oversight for site onboarding, handling variability across plants and ensuring consistent delivery standards across implementations.

Quality Assurance and Technical Direction

• Review and assure vendor and internal deliverables; provide technical direction and quality gates for complex OT engineering initiatives.

Qualifications & Experience

Education

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

Experience

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

Skills & Competencies

• 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 including reliability, observability, orchestration, and performance tuning.
• Stakeholder leadership across plant operations, OT engineering, IT, and analytics consumers.
• Vendor assurance and technical governance for complex multi-site delivery programs.