Data Architect

Responsibilities

• Design and oversee the overall enterprise data architecture, semantic layers, and knowledge ecosystems.
• Architect scalable, robust, and AI-ready data infrastructure patterns to support downstream analytics and machine learning.
• Establish and drive data governance, master data management (MDM), and data quality standards across platforms.
• Preferred Experience & Skills
• Enterprise Architecture: Proven track record in designing end-to-end enterprise data architectures.
• Domain Expertise: Deep knowledge of finance and accounting business processes and reporting structures.
• Cloud Data Platforms: Hands-on experience with modern cloud platforms such as Snowflake, Databricks, Azure, or comparable architectures.
• Governance & MDM: Expertise in implementing data governance frameworks and master data management solutions.
• AI Readiness: Familiarity with AI-ready architecture patterns designed for LLM, RAG, and AI agent integrations.