Data Architect
SiGMA World
full-time
Posted on:
Location Type: Hybrid
Location: Limassol • Cyprus
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Tech Stack
About the role
- Defines the enterprise‑wide data architecture vision, principles, and roadmap.
- Establishes data standards, modelling practices, and governance frameworks to ensure consistency and quality.
- Maintains a holistic view of data flows across event platforms, CRM systems, mobile apps, exhibitor tools, and iGaming systems.
- Ensures the data architecture supports scalability, performance, and long‑term business needs.
- Designs conceptual, logical, and physical data models for analytics, AI, and operational systems.
- Develops and maintains data warehouses, data lakes, and real‑time data pipelines.
- Ensures data structures support both batch and streaming use cases, including high‑traffic event scenarios.
- Collaborates with engineering teams to implement robust, efficient, and secure data solutions.
- Prepares and optimise data environments for machine learning, predictive analytics, and AI‑powered features.
- Introduces AI‑assisted tools for data quality monitoring, anomaly detection, and automated modelling.
- Supports the development of AI‑enabled products such as personalised event recommendations, predictive attendee behaviour insights, automated exhibitor and sponsor analytics, intelligent content generation.
- Ensures AI data pipelines are compliant, scalable, and aligned with responsible‑AI principles.
- Builds data systems that support the unique demands of live events, including real‑time engagement tracking and high‑volume ingestion.
- Supports iGaming‑specific data requirements such as behavioural analytics, partner reporting, and regulatory compliance.
- Ensures data systems can handle traffic spikes during major events and tournaments.
- Implements data‑quality frameworks, validation rules, and monitoring systems.
- Ensures compliance with data‑privacy regulations and responsible‑gaming requirements where applicable.
- Works with security teams to embed secure‑by‑design principles into all data architectures.
- Manages risks related to data integrity, lineage, and access control.
- Works closely with data engineers, data scientists, product managers, and platform teams to deliver end‑to‑end data solutions.
- Translates business requirements into scalable and efficient data architectures.
- Communicates data strategy, risks, and opportunities to technical and non‑technical stakeholders.
- Mentors and guides teams on data best practices and architectural standards.
Requirements
- Strong expertise in data modelling, database design, and distributed data systems
- Proficiency with cloud data platforms and modern data architectures
- Knowledge of streaming technologies and real‑time data processing
- Familiarity with AI/ML data requirements and AI‑assisted data tools
- Strong understanding of data governance, metadata management, and data‑quality frameworks
- Excellent problem‑solving, communication, and collaboration skills
- Experience with event‑driven or iGaming data environments is a plus
- Educated to degree level in a numerate or technical discipline, Masters preferred.
- 8-10+ years of technical experience in data architecture, data engineering, or related fields
- 3+ years of management or mentorship experience, such as leading data teams or guiding architectural initiatives
- Proven track record of designing scalable, cloud‑native data architectures
- Experience supporting AI‑enabled products or introducing AI tooling
- Background working with event data, digital engagement metrics, or iGaming systems
- Experience with enterprise data governance and large‑scale data transformations
Benefits
- Free iGaming Academy access -Learn the ins and outs of the industry with access to courses.
- Travel perks - Visit our international offices and attend industry events worldwide.
- Performance rewards - High performers are recognized and fast-tracked with annual reviews and bi-yearly performance checks ins.
- Interest-free car loan after probation (T&Cs apply)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata modellingdatabase designdistributed data systemscloud data platformsreal-time data processingdata governancemetadata managementdata quality frameworksAI/ML data requirements
Soft Skills
problem-solvingcommunicationcollaborationmentorshipleadership
Certifications
degree in a numerate or technical disciplineMasters preferred