Senior Data Architecture Engineer

Your tasks

We are seeking a Senior Data Architecture Engineer to design, develop, and optimise scalable data architectures supporting our global mobile applications and gaming platforms.

The role focuses on multi-region data infrastructure, cross-border data processing, data integration, and privacy-by-design solutions to support business growth and compliance with applicable international data protection regulations.

1. Global Data Architecture Design and Implementation

• Design, implement, and continuously optimise data architectures for globally distributed mobile applications.
• Develop scalable data storage, transmission, synchronisation, and processing solutions across multiple cloud regions.
• Design database sharding, distributed storage, and multi-region deployment strategies.
• Address technical challenges involving cross-border data latency, consistency, availability, and multi-region coordination.
• Ensure reliable end-to-end processing and storage of user behavioural data, business data, and transaction data.

2. Data Integration and ETL Pipeline Development

• Develop and maintain data ingestion and ETL pipelines for mobile gaming user events, advertising SDKs, and attribution platforms such as AppsFlyer.
• Integrate relevant data from third-party SDKs and internal applications into enterprise data platforms.
• Build and maintain data processing pipelines supporting privacy and compliance requirements.

3. Data Privacy and Cross-Border Compliance Engineering

• Implement technical controls for cross-border data transfers in accordance with company policies and applicable regulatory requirements.
• Develop and maintain data access permissions, data transfer controls, and appropriate security safeguards.
• Automate workflows supporting data subject requests, including data deletion and data access or export requests.
• Collaborate with infrastructure and security teams to implement sensitive data discovery, access audit logging, and data lineage capabilities.
• Provide technical documentation and evidence to support privacy assessments and audits conducted by the Data Protection Officer (DPO) or relevant compliance teams.

4. Cross-Functional Collaboration

• Collaborate with global data engineering, algorithm, game product, and monetisation teams to standardise data definitions and reporting metrics.
• Design secure data aggregation and synchronisation solutions while maintaining appropriate restrictions on cross-border transfers.
• Produce technical architecture documentation, data flow diagrams, and compliance-related design specifications.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Cybersecurity, or a related discipline, or equivalent practical experience.
• At least 3 years of relevant experience in backend development, data engineering, or data architecture.
• Proficiency in Java, Go, Python, or similar backend development languages.
• Strong knowledge of microservices, distributed databases, data synchronisation, and multi-region architecture.
• Hands-on experience with databases and middleware such as MySQL, Redis, MongoDB, and Elasticsearch.
• Experience designing and optimising large-scale data platforms.
• Knowledge of data encryption, masking, anonymisation, access controls, and audit logging.
• Ability to translate privacy and regulatory requirements into practical engineering solutions.
• Familiarity with relevant data protection regulations, including GDPR, CCPA/CPRA, Singapore's PDPA, and applicable regional privacy laws.
• Strong problem-solving, technical documentation, and cross-functional communication skills.

• Experience supporting internationally distributed mobile applications, gaming, e-commerce, social media, or consumer technology products.
• Experience implementing cross-border data transfer controls, data localisation solutions, and multi-cloud architectures.
• Relevant certifications such as CISSP, CISP, or other data security qualifications.
• Previous involvement in major privacy compliance remediation or cross-border data governance projects.