Data Architect

About the role

We are looking for a Data Architect to own the end‑to‑end data architecture for operational and analytics data in data‑centre environments. The role focuses on industrial data ingestion, modeling, analytics enablement and embedded data governance, turning raw OT telemetry into trusted business insights.

Key responsibilities

• Design, build and operate OPC UA‑based ingestion pipelines from BMS, PQMS, PLCs and sensors, including edge and on‑premises implementations.
• Manage raw and curated data layers, addressing time‑series challenges such as sampling rates, timestamps, aggregation and late‑arriving data.
• Define and standardise connectivity, subscription patterns, streaming vs batch strategies, buffering, retry and fault‑tolerance mechanisms.
• Establish architectural standards for schemas, asset hierarchies, naming conventions and metadata structures.
• Design and maintain data marts, fact and dimension models, and a semantic layer to support self‑service analytics and KPI consistency.
• Embed data governance, quality rules, lineage and security controls throughout pipelines and analytics models.
• Provide technical leadership, collaborate with analysts and continuously improve the platform.

Required profile

• Hands‑on experience designing and operating data platforms for OT environments.
• Strong understanding of time‑series data, reliability, performance and scalability requirements.
• Proven ability to define and enforce architectural standards and non‑functional requirements.
• Experience working with cross‑functional teams to deliver analytics‑ready datasets.

Required skills

• OPC UA connectivity
• BMS, PQMS and PLC data sources
• Edge and on‑premises data pipeline development
• Time‑series data handling and modeling
• Data mart and dimensional modeling
• Data governance, quality rules and lineage
• Security controls for OT/IT boundary