Arbetsbeskrivning

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description:

We are looking for a Senior Industrial Data Architect to join our dynamic team.

What you will work on:

• Define and implement industrial data architecture for the factory data platform, spanning OT, IoT, edge, IT, and cloud environments.
• Design scalable and interoperable data pipelines and APIs to ensure seamless data flow across MES, machine time-series, quality, asset, and maintenance systems.
• Develop and manage API-based integrations between factory systems, enterprise applications, and cloud services, enabling secure and efficient data exchange.
• Enable combined access to operational data to support insights, analytics, visualization, root cause analysis, and other production improvement initiatives.
• Establish and enforce data governance, quality, security, and compliance standards across OT, IT, and cloud layers.
• Collaborate with cross-functional teams, including IT/OT architects, engineers, and data scientists, to drive architectural decisions and ensure alignment with enterprise standards.
• Support implementation of semantic technologies, data virtualization, unified namespaces, and knowledge graphs to enhance contextualized access and interoperability.
• Provide strategic guidance on industrial data platform design to future-proof factory operations and support digital transformation initiatives.

What you bring:

• Proven experience as an industrial data architect with a track record of consulting on manufacturing data platforms.
• Expertise in industrial data modeling and contextualization using standards such as ISA-95 and ISO/IEC 81346.
• Strong understanding of data integration, APIs, semantic technologies, and unified namespace concepts (e.g., MQTT).
• Experience supplying manufacturing-related data for analytics, visualization, and AI/ML applications.
• Knowledge of data governance, security, and compliance in industrial and manufacturing environments.
• Ability to work in cross-functional teams and influence architectural decisions.
• Familiarity with streaming data platforms, factory automation systems, and cloud-native industrial solutions is a plus.
• Strong communication skills and ability to translate complex industrial data requirements into actionable architectural solutions