LEAD DATA ENGINEERING, INTEGRATION & GOVERNANCE
Core
Lead the ingestion, preparation, transformation, quality assurance, and integration of enterprise data to build a scalable data engineering foundation for Digital Twin, Knowledge Graph, and sustainability platforms.
Role type
Lead Data Engineering, Integration & Governance
Builds
Scalable data engineering architectures, ETL/ELT pipelines, APIs, automation frameworks, and reusable data products for semantic integration and downstream consumption.
Domain
Industrial Digital Engineering, Energy Distribution, Data Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Data pipeline design and implementation, ETL/ELT orchestration, Data quality and validation, Metadata management and lineage, Enterprise system integration, Infrastructure optimization, Semantic data modeling, Governance and compliance implementation, Stakeholder collaboration, Technical documentation
Preferred skills
Knowledge graph population, Ontology-driven architectures, Digital Twin platform experience, Asset Administration Shell (AAS) integration, Omniverse platform support
Technologies
Databricks, Azure Data Factory, PLM, ERP, MES, Engineering tools, Simulation platforms
Responsibilities
Design scalable data engineering architectures and integration patterns; Build and operate robust data integration capabilities including pipelines and APIs; Lead data preparation, transformation, and quality assurance practices; Drive operational excellence for data platforms and manage lifecycle activities; Implement governance, compliance, and security controls; Optimize enterprise data platforms and maintain infrastructure; Prepare semantically ready data for knowledge graphs and Digital Twins; Partner with stakeholders to implement end-to-end data integration.
Seniority
Lead, hands-on IC with strategic oversight