Data Architect - Consulting & Industrial AI

About the role

Osol is looking for a Data Architect who is strong in both information architecture and data modelling to act as the data design authority for its Data & Analytics practice. The role shapes how data is structured, governed and trusted across client consulting engagements, industrial data platforms and the Industrial AI program running in the group's manufacturing plants. Consulting services are the primary focus.

Key responsibilities

• Define the scope, approach, deliverables, team shape and estimates of Data & Analytics services covering strategy and advisory, engineering and platform modernization, governance, quality and lineage, business intelligence and analytics, and DataOps.
• Build reusable assets: assessment frameworks, reference data architectures, industry data model templates (finance and manufacturing first) and governance operating model templates.
• Lead presales: discovery workshops, shaping data solutions, writing data architecture sections of proposals and RFP responses, estimating effort, presenting to client executives with technology partners, and contributing to case studies and thought leadership.
• Lead engagements as lead data architect, directing data engineers and BI developers and owning the quality of data designs and deliverables.
• Use AI coding tools to generate and review code, SQL and data models for complex use cases.
• Assess plant data readiness and document plant data sources with plant experts, historians, control, maintenance, ERP and laboratory systems, and operator logbooks, writing acquisition specifications that respect read-only access and plant security rules.
• Design reusable, configuration-driven plant information models (ISA-95 and ISO 14224 aligned) with tag-to-asset mapping and AI-ready datasets.
• Review industrial data platforms from a data perspective throughout their lifecycle, and evaluate vendor responses, criteria and demonstrations for enterprise data, analytics and AI platforms.

Required profile

• Bachelor's or Master's degree in Computer Science, Information Systems, Software Engineering, Engineering or a related discipline.
• 12+ years in data management, data warehousing or data engineering, including 5+ years in data architecture or data modelling roles.
• Lead data architect or modeler on at least two productionized enterprise data platforms or data warehouses, ideally in a consulting firm or technology vendor; finance and/or manufacturing experience strongly preferred.
• Comfortable with clients and senior executives, and able to get needs from busy subject-matter experts in short, well-prepared sessions.
• Certifications such as DAMA CDMP, TOGAF or a data platform certification (Microsoft, Databricks or Snowflake) are an advantage.

Required skills

• Data architecture: enterprise data warehouse, data lake and lakehouse platforms in cloud, on-premises or hybrid environments.
• Data modelling: dimensional (Kimball), normalized (3NF) and Data Vault 2.0.
• Information architecture: glossaries, taxonomies, ontologies, metadata, master and reference data.
• Data governance: DAMA-DMBOK-aligned quality, lineage, classification, privacy, retention and stewardship.
• Advanced SQL, ELT, CDC, streaming and batch patterns.
• Finance and manufacturing domain data, including SAP or Oracle ERP structures.