Enterprise Domain Architect – Data

🔥 13 hours ago

🌐 Poland, France, +3 more countries – Remote

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⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 10%

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Logo of ABB

ABB

10,000+ employees

💼 Consulting

📦 Logistics

🚗 Transport

💰 $545.9M Post-IPO Debt - ABB on 2023-11

Consulting • Logistics • Transport

<ABB> ABB is a global technology company specializing in electrification, industrial automation, robotics, motion, and power products and services. It designs, manufactures and services hardware such as motors, drives, medium- and low-voltage equipment, transformers, EV charging infrastructure, and robotic systems, and provides software and lifecycle services to utilities, industry, transport and infrastructure customers to improve efficiency and enable a low-carbon, digitally connected future.

📋 Description

• Define and evolve the enterprise data & information architecture blueprint • Establish data domains, core data models, and enterprise information flows • Set and govern pragmatic data standards covering modelling, metadata, lifecycle, and interoperability • Ensure alignment with regulatory and compliance requirements including privacy, security, and data sovereignty • Guide the design of modern data ecosystems such as lakehouse, streaming, data products, and data mesh • Enable analytics, AI, and data-driven use cases through scalable architecture • Define patterns for data sharing and integration across platforms and domains • Collaborate with architects, platform teams, and business stakeholders to support adoption • Support governance processes, including architecture reviews and risk management • Coach and guide domain and solution architects on data architecture best practices

🎯 Requirements

• 10+ years of experience in data, information, or enterprise architecture roles • Experience building enterprise-scale data architecture in complex, decentralized environments • Deep experience in data modeling, governance, and contemporary data architectures such as lakehouse, data mesh, and APIs • Experience with cloud-based data platforms, analytics, and AI/ML ecosystems • Skilled in stakeholder engagement and working collaboratively across organizational boundaries • Ability to translate complex technical concepts into clear business value • Strategic mindset combined with pragmatic, delivery-oriented thinking

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