Principal Engineer, Data

Job purpose

Lead the design, modeling, and evolution of Maaden’s enterprise data architecture across both OT and IT environments. The role ensures that data products, enterprise data layers, and integration patterns are standardized, scalable, high-quality, and governed. It provides expert guidance on how diverse OT and IT data flows should be modeled, aligned, and transformed to support analytics, operations, AI/ML, and enterprise systems.

This position is a senior technical authority responsible for defining modeling standards, shaping architecture decisions, and guiding multidisciplinary teams to ensure cohesion, performance, and semantic consistency across the organization.

Key Accountabilities

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Develop conceptual, logical, and physical data models aligned with business domains, following enterprise standards and modeling principles defined in Maaden’s architecture frameworks.

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Lead the creation and optimization of data product models, enterprise layer schemas, and domain-driven structures for both OT and IT sources.

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Ensure models consider technology-specific requirements, including relational, non-relational, time-series, and streaming architectures.

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Architect unified modeling approaches that address the complexities of OT environments such as remote, disconnected, and heterogeneous mining/manufacturing sites, and the differing data ingestion, latency, and operational constraints.

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Establish integration patterns ensuring consistent transformation logic, metadata, lineage, and data quality across OT–IT boundaries.

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Define and maintain enterprise modeling standards, guidelines, and reusable templates to ensure consistency across the organization.

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Review and approve modeling deliverables from internal teams and external vendors.

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Mentor data modelers, engineers, and analysts to uplift enterprise modeling maturity

Minimum Qualification, Experience and Competencies

Minimum Qualification

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Bachelor’s degree in Computer Science/Eng, Data Engineering, Information Systems, or related field.

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Master’s degree preferred (Data Architecture, Software Engineering, or AI/Analytics).

Minimum Experience

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10–15 years of experience in data modeling, data architecture, or enterprise information architecture.

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Demonstrated experience designing models and architectures across both OT and IT landscapes.

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Strong experience with cloud-native platforms (Azure preferred), modern data platforms, metadata tools (e.g., Informatica), and modelling standards/frameworks.

Maaden High Performance Competencies

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Solution and domain architecture design

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Systems integration and interoperability

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Translation of business needs into architecture

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Cross-domain and cross-platform collaboration

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Strong design governance and guidance

Skills

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Mastery of conceptual, logical, and physical data modeling.

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Expertise in data architecture frameworks, enterprise modeling principles, and metadata

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management.

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Understanding of OT systems (SCADA, DCS, historians, sensors) and IT data platforms.

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Ability to design data flows from edge to cloud, including ingestion, storage, curation, and

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consumption layers.

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Knowledge of modeling tools (Erwin, ER/Studio, Sparx EA, etc.) and lineage/governance tooling.