Job Description:
Lead discovery of industrial data requirements and translate business use cases into a scalable data architecture and delivery roadmap.
Define end-to-end patterns for ingestion, contextualization, storage, integration, security, observability and consumption across edge, plant and cloud layers.
Guide integration of historian, IoT, PLC/SCADA, MES, ERP, quality, maintenance and laboratory systems.
Own data modelling standards for assets, processes, products, batches, orders, events and time-series signals.
Plan work, estimate effort, manage dependencies and govern delivery quality for data-engineering workstreams.
Review solution designs and code; ensure performance, resilience, security, testing and maintainability standards are met.
Lead data-quality, lineage, metadata and reconciliation strategies and resolve cross-system data ownership issues.
Partner with manufacturing leads, enterprise architects, data scientists, UX teams and client technology leaders.
Mentor engineers, allocate work, build reusable accelerators and support capability development.
Provide clear status, risk, decision and value reporting to program leadership and client stakeholders
From live job posts on CoreHRx, updated 30 Oct 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
