Principal Specialist, Data Delivery Management

Maaden; Riyadh; On-site; SAR 400,000 - 700,000; Full time

Job summary

Maaden is seeking a Principal Specialist, Engineering and ETL (OT) to lead OT data engineering, ensuring reliable ingestion, transformation and analytics-ready data across sites.

You will define OT pipeline standards, govern data quality and security, and guide multi-site teams in scalable, auditable OT-to-IT data pipelines.

Qualifications

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

Responsibilities

• Define OT data engineering and ETL standards, patterns, and reference architectures for batch, streaming, and near-real-time ingestion.
• Establish ingestion patterns for historians and OT sources, including normalization, unit standardization, quality flags, and tag mapping.
• Design robust pipeline reliability features (idempotency, backfill, late-arriving data handling, reconciliation, alerting).
• Ensure OT pipelines meet security and segmentation requirements; collaborate with OT cyber and platform security for governance-by-design.
• Oversee OT data transformation to produce curated data products aligned to enterprise models and governance.
• Provide architectural oversight for site onboarding and consistency across plants.

Skills

OT data engineering

Time-series data

Security & governance

Data quality

Stakeholder leadership

Multi-site delivery

Education

Bachelor's degree

Master's degree preferred

Job description

JOB DESCRIPTION

The Principal Specialist, Engineering and ETL (OT) provides enterprise leadership for OT data engineering, enabling reliable ingestion, transformation, and availability of operational data for analytics, operations, and performance management. The role defines OT pipeline standards and assures that OT data is delivered with quality, lineage, security, and appropriate latency across sites.

Job Purpose

The Principal Specialist, Engineering and ETL (OT) provides enterprise leadership for OT data engineering, enabling reliable ingestion, transformation, and availability of operational data for analytics, operations, and performance management. The role defines OT pipeline standards and assures that OT data is delivered with quality, lineage, security, and appropriate latency across sites. This position is responsible for defining scalable patterns for integrating historians and industrial systems into enterprise platforms, guiding teams through complex OT constraints, and ensuring operational data products are sustainable and governed.

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.