Senior Industrial Data Architect - 14478

Om jobbet

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