Data Architect / Data Engineer (EMEA)
Role details
Job location
Tech stack
Job description
We're looking for a Data Architect / Data Engineer to design and power the data foundation behind large-scale, data-driven customer experiences. In this role, you'll be responsible for building and optimizing the data architecture that fuels real-time segmentation, personalization, and analytics, with Adobe Experience Platform (AEP) at the core. You'll work across marketing, analytics, and engineering teams to ensure data is clean, connected, and activation-ready-enabling everything from campaign execution to AI-driven personalization. This is a hands-on role for someone who enjoys solving complex data challenges and building scalable, high-performance data ecosystems. What You'll Do
Design and implement scalable data architectures supporting real-time data ingestion and activation Define data models, schemas, metadata, and identity frameworks Ensure architecture supports segmentation, personalization, and analytics use cases
Build & Integrate Data Pipelines
Develop and maintain integrations between Adobe Experience Platform (AEP) and enterprise systems Build and optimize data pipelines (ETL/ELT) across multiple data sources Ensure reliable connectivity across marketing, analytics, and product platforms
Optimize Data Infrastructure
Improve performance and reliability of data pipelines and ingestion processes Support both batch and real-time data processing requirements Monitor system performance and resolve bottlenecks or failures
Ensure Data Governance & Compliance
Implement data governance frameworks including ownership, metadata, and schema standards Ensure compliance with GDPR and global data privacy regulations Support data lifecycle management, retention, and data quality initiatives
Enable Advanced Analytics & Personalisation
Support data science and analytics teams with high-quality, structured data Enable AI-driven segmentation and personalization use cases Provide the foundation for advanced analytics and performance measurement
What Success Looks Like
Reliable, real-time data pipelines with minimal latency or downtime Clean, well-governed data ready for activation and analytics Strong alignment between data, marketing, and product teams A future-ready platform supporting AI and advanced personalization
Requirements
Hands-on experience building data pipelines, integrations, and data models Experience with Adobe Experience Platform (AEP) or similar CDP/data platforms Strong understanding of real-time data processing, APIs, and cloud-based architectures Experience supporting marketing and analytics use cases with data solutions Knowledge of data governance, privacy, and compliance frameworks (GDPR) Ability to work cross-functionally in fast-paced, large-scale environments
Nice to have:
Experience supporting personalization or customer engagement platforms Exposure to AI/ML-driven data use cases Background in high-scale consumer or digital platforms