GDPR Data Architect

- Define enterprise data architecture aligned with GDPR and organizational data strategy. - Design conceptual, logical, and physical data models for relational databases, NoSQL databases, and unstructured data. - Establish standards for data classification, metadata, and ownership across structured and unstructured data. - Ensure data models support traceability, lineage, and regulatory reporting. - Architect privacy by design and privacy by default solutions. - Define data retention, archival, anonymization, and deletion strategies across all data stores. - Design architectures supporting DSAR, right to erasure, and consent management. - Define security architecture including role-based access control, column/row level security, data masking, tokenization, and encryption. - Ensure compliance across cloud, hybrid, and on-premises environments. - Implement and operationalize key compliance capabilities: data retention & archival policies, right to erasure, data minimization, security & access controls, auditability, traceability & data lineage. - Work with Risk and Compliance teams to translate regulatory needs into technical design. - Design and govern enterprise data integration architectures using ETL/ELT frameworks and API-based integration. - Define integration patterns for real-time, near real-time, and batch processing. - Lead data migration initiatives from legacy and distributed systems to centralized platforms. - Define migration strategies including data profiling and cleansing, PII identification, and remediation. - Validate post-migration data quality, security, and accessibility. - Provide architectural leadership and guidance to Data Engineers and Platform teams. - Support GDPR audits, regulatory assessments, and architectural reviews. - Define and maintain architecture standards, patterns, and documentation.