Enterprise Data Architect

We are looking for an Enterprise Data Architect.

Job Description & Responsibilities

• Centralizing Data Architecture: Migrating scattered data from various systems into a centralized structure, building an optimized and enriching data architecture tailored for Artificial Intelligence (AI) and Machine Learning (ML) processes.
• Single Source of Truth: Establishing "Single Source of Truth" standards for cross-system data sharing; ensuring that customers are represented uniformly and consistently across all systems, regardless of their acquisition channel.
• Data Integrity & Security: Designing secure data sharing protocols, as well as creating and deploying systemic rules to prevent data duplication.
• Data Governance: Defining Data Governance rules, guiding technical teams in their implementation, and ensuring continuous auditing and compliance.
• Regulatory Compliance: Designing a data architecture that is 100% compliant with legal frameworks and audit standards such as KVKK (Turkish Personal Data Protection Law) and GDPR; agilely adapting the architecture to any regulatory changes.
• Cross-Functional Liaison: Acting as a bridge between highly technical software/infrastructure teams and business end-users, serving as a guide who fluently speaks and translates the language of both sides.

Qualifications & Requirements

• Domain Expertise: In-depth knowledge and profound experience in data architecture, data governance, and data strategy development.
• Project Experience: Active, end-to-end involvement in Data Warehouse projects and the transition from traditional to modern data structures.
• Security & Privacy: Expert-level knowledge in data security, data privacy, and the technical integration of KVKK and GDPR regulations into the infrastructure.
• Communication & Technical Acumen: Possessing the high technical proficiency required to debate solutions with technical authorities, combined with the strong communication skills needed to guide and influence business units.
• Leadership: A visionary with strong leadership qualities who doesn't just set the rules, but actively persuades stakeholders to ensure their successful implementation.
• Continuous Learning: Always open to learning new technologies, tools, and architectural approaches.
• Industry Experience: Preferably experienced in working with complex data structures within the Manufacturing (sector experience is a significant plus), Retail, or Telecommunications industries.
• Education: Bachelor’s degree from an Engineering faculty.
• Language Skills: Advanced level of both spoken and written English.