Location: Athens; Limassol; Nicosia
Workplace: hybrid
The Role:
We are seeking a Senior Data Architect to define the strategic vision, enterprise-wide governance, and next-generation evolution of our overarching data architecture. You will set the enterprise standard for data management, advanced data modeling, and architectural design, enforcing best practices and ensuring our mission-critical data platforms are resilient, performant, and deeply aligned with long-term strategic objectives.
The main responsibilities of the position include:
Partner with IT leadership to establish, plan, and execute departmental targets and KPIs in alignment with corporate goals.
Oversee the end-to-end data architecture lifecycle, including platform selection, technical design, and the delivery of critical modernization programs.
Manage conceptual, logical, and physical data models while defining non-functional requirements (scalability, performance) for mission-critical systems.
Establish enterprise-wide data architecture guidelines, lead technical review sessions, and maintain version-controlled architectural artefacts.
Collaborate with IT Governance on metadata management, data quality metrics, and audit compliance to ensure adherence to security and enterprise regulations.
Drive continuous innovation by evaluating emerging technologies and integrating advanced analytics capabilities to enhance data-driven solutions.
Lead, coach, and motivate the data architecture team by setting performance targets, providing regular feedback, and fostering a culture of knowledge sharing.
Partner closely with project teams as an embedded contributor, guiding schema design, physical design choices (e.g., indexing and partitioning), data access patterns, and query optimization best practices.
Advise project teams on the end-to-end data product lifecycle, from platform selection through testing and implementation.
Develop onboarding and training programs for Data Architecture, and extend architectural expertise and services across all Group companies.
Main requirements:
BSc/MSc in Computer Science, Information Technology or related field.
At least 5 years’ experience in data-architecture or related roles, including leadership of enterprise initiatives
Deep expertise in data-platform patterns (lakehouses, data mesh) and advanced modelling techniques
Proven track record in designing scalable, high-availability data architectures and respective SLAs
Demonstrable Experience across the following domains:
Metadata and Master Data Management, Data Quality, Data Warehousing, Reporting & Data/Analytics.
Enterprise data modelling
Data Governance
Data Platforms
ETL Tools
Data Standards
Demonstrable experience using Cloud data technologies to develop enterprise data platforms
Proven success in architecting enterprise data strategies, building ROI-driven business cases, and aligning architecture across multiple business units.
Strong expertise in designing automated data pipelines and navigating data security, privacy frameworks, and regulations.
Demonstrated leadership ability to motivate, coach, and develop a high-performing technical team.
Highly effective in agile delivery models, with excellent facilitation skills for Architecture Review Boards and stakeholder committees.
Exceptional analytical, problem-solving, and interpersonal communication skills.
Benefit from:
Attractive remuneration package
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Bring It to Life – Role-Specific Take-Home Task
Final Connection – Final Interview
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ГибридseniorПомогают с релокацией (Португалия); Conduct data studies to uncover insights Write ETL pipelines (data marts, alerts, and predictions) Ask "why" and "what problem are we solving" Requirements Experience in data analysis and in marketing analytics Understanding of marketing KPIs, attribution models, and the problems ad platforms solve Knowledge of mathematical statistics and experience applying it Ability to write complex SQL queries Data analysis skills in Python Ability to choose the right evaluation approach: analytics, research, or use of external data Ability to solve non-trivial problems under incomplete data Attention to detail and ability to see any task through to completion Good English verbal and written communication skills (B2+) Preferred Experience running A/B, geo, and other types of experiments Experience in econometrics Benefits Compensation package: base salary and performance-based bonuses Relocation support: full assistance for a smooth relocation for employees and their families to Lisbon, Portugal Office-first: flexible hours with the possibility to work remotely 52 days per year Care and wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave AI-first approach: licenses and access to a wide range of AI tools Team and growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional training, and English and Portuguese courses Community and engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of teamwork