Data Architect at xm

Athens·9h ago

Mid LevelFull-timePythonRustAgileAIML

Salary Range

$102,000 - $138,000 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We’re looking for a Data Architect to drive the design, evolution, and governance of data architecture across the organization. This role focuses on translating business needs into scalable data solutions and providing best-practice guidance on data management.

Key Responsibilities

→Develop conceptual, logical, and physical data models, focusing on design and physical design considerations
→Define and maintain reference and target data architectures across operational systems and analytical environments
→Drive architectural decision-making and trade-offs, and contribute to architecture documentation practices
→Support the implementation of the organizational data strategy, including database design standards and analytics platform integration
→Assist with the deployment and extension of the Enterprise Data Catalogue
→Contribute to the creation and maintenance of architecture processes and documentation standards
→Partner with project teams as an embedded contributor, guiding schema design, physical design choices, and query optimization best practices
→Advise project teams on the end-to-end data product lifecycle
→Govern changes to architectural artefacts and ensure systems conform to established data architecture guidelines
→Define data flows and integration patterns across applications and services

Requirements

✓BSc/MSc in Computer Science, Information Technology, or related field
✓Minimum of 3 years of experience in data modeling, data engineering, database design, or data architecture roles
✓Strong expertise in conceptual, logical, and physical data modeling, with solid SQL skills
✓Proficiency in Python for data-related work
✓Experience working with cloud-based data platforms and modern data warehouse or lakehouse architectures
✓Good understanding of software development lifecycles, requirements analysis, and technical design best practices
✓A collaborative mindset, with the ability to build trusted relationships across business and technical teams
✓Exposure to data governance, metadata management, and data quality frameworks
✓Confidence in advising on ETL/ELT patterns, data integration solutions, and data orchestration technologies
✓Experience in graph databases, vector databases/semantic search capabilities, feature stores, or related ML/AI data architectures would be considered a plus
✓A proactive, self-driven professional who thrives in agile environments