# Enterprise AI & Data Architect

**Company:** Accenture Greece
**Location:** Athens, Greece
**Workplace:** on site
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/1fc9d270-0ac8-40b4-8612-c27b127aa49e)

## Description

ARE YOU READY to step into the **New Era (NewRA) of AI-driven banking**?  
At **Accenture Newra AI Hub**, we are not just building technology, we are redefining how banking operates. As part of our strategic collaboration with Piraeus, Newra is designed to responsibly embed AI at the core of its business, moving beyond experimentation to real-world impact at scale. Built to make a real difference, Newra reflects our belief that AI creates value only when it genuinely improves people’s lives.  
You will work on advanced AI solutions that span the full spectrum of the bank -from core banking systems to customer experience- simplifying complexity, automating critical processes and delivering measurable results where they matter most.  
Joining Newra means becoming part of a high-performing team of innovators at the beginning of a major reinvention. This is a space for people who approach AI with depth, discipline and purpose. You will collaborate across disciplines, develop future-proof skills, and help turn technology into real-world transformation.  
Every AI model is only as good as the data beneath it. As an Enterprise AI & Data Architect, you’ll design the data backbone for next-generation AI, analytics, and digital products, turning complex enterprise data into trusted, reusable, and AI-ready assets. You’ll define target-state data models, integration patterns, and governance standards that help teams build faster, safer, and with greater confidence. Your work will translate business and analytical needs into scalable data designs, aligned with regulatory, privacy, and data quality requirements.  
**What You’ll Build  
**

-   Target-state data models (dimensional, data vault, star) and data structures supporting the AI Hub's analytics and ML use cases  
    
-   Integration and ingestion patterns, data access approaches, and reusable design standards — working with Data Engineers on implementation  
    
-   Data quality, governance, and compliance standards (profiling rules, validation, controls) embedded into Hub data designs  
    
-   Data cataloguing, taxonomy, and lineage practices so data assets are discoverable, well-described, and traceable across the platform  
    
-   Feature stores and data structures for high-quality, well-modelled ML training data — in collaboration with AI/ML Engineers and Data Scientists  
    
-   Architecture reviews and technology/standard selection in alignment with the bank's enterprise architecture function  
    
-   Data design reviews ensuring performance, cost, scalability, and reusability as Hub use cases and data volumes grow  
    
**What We Need  
**-   B.Sc. and/or M.Sc. in Computer Science, Information Systems, Engineering, or related field  
    
-   5–8 years of experience in data engineering, data modelling, data architecture, or enterprise information architecture  
    
-   Strong data modelling skills: conceptual, logical, physical, dimensional, data vault, star schema, ERD / UML  
    
-   Advanced SQL / SparkSQL with a focus on schema and data modelling; hands-on with Databricks / Apache Spark and Azure Data Lake Storage (ADLS Gen2)  
    
-   Data warehouse & lakehouse architecture: integration/ingestion patterns, reusable data design standards  
    
-   Data governance and compliance: GDPR, PSD2, data quality frameworks  
    
-   Data cataloguing, taxonomy, and lineage (Unity Catalog, Collibra) so data assets are discoverable and traceable  
    
-   Strong collaborator across engineering, data science, and enterprise architecture teams  
    
_Nice to have:  
_-   Enterprise architecture experience: architecture reviews, standard/technology selection  
    
-   Streaming and batch processing patterns; feature store design for ML training data  
    
-   Metadata management and data dictionary practices (e.g. Informatica)  
    
-   DevOps and version control (Git) applied to data design assets  
    
**What's In It For You  
**-   Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, parental leave and various corporate discounts  
    
-   Continuous training & development through global platforms & local academy. At Accenture, we believe in bringing the best to our clients through continuous learning & improvement – from basic skills to industry-specific content – available to all our people  
    
-   Career coaching and mentorship to help you manage your career and develop professionally  
    
-   Ongoing strength and skill-based evaluation process  
    
-   Various opportunities to develop your career across a spectrum of clients, industries and projects  
    
-   Diverse and inclusive culture  
    
-   Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work  
    
-   Under our Brain Regain initiative, extra relocation benefits may apply  
    
To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.