Data sahəsinin data arxitektoru (Data Modelling)

About the role

We are looking for an experienced Data Architect specialized in data modelling to design and maintain analytical platforms such as Data Warehouses, Lakehouses and Data Marts. The role focuses on translating business needs into robust, scalable data structures that support reporting, dashboards, AI/ML initiatives and self‑service analytics within a banking environment.

Key responsibilities

• Develop conceptual, logical and physical data models for DWH, Lakehouse and Data Mart solutions.
• Integrate data from multiple banking systems into unified subject‑area models.
• Convert business requirements, reports and analytical use‑cases into optimized data models.
• Align data structures with financial products, risk, compliance and operational processes.
• Build reliable pre‑crafted data layers to enable self‑service analytics and AI/ML projects.
• Participate in SDLC activities to ensure correct modelling of tables, views and other data objects.
• Design data models suitable for both human users and AI/ML consumption.
• Define and enforce data‑modeling standards, naming conventions and best practices.
• Support Data Governance initiatives, including metadata management, data lineage and data quality.

Required profile

• Minimum 6 years of experience in Data Warehousing, Data Architecture or Data Modelling.
• Strong background designing DWH, Lakehouse and dimensional data marts.
• Deep knowledge of banking and financial services.
• Proficiency with RDBMS (Oracle, PostgreSQL), NoSQL (MongoDB) and familiarity with Big Data ecosystems.
• Understanding of dimensional, relational, Data Vault and domain‑driven modelling methodologies (preferred).
• Experience with corporate modelling tools such as ERwin, PowerDesigner or ER/Studio (advantage).
• Familiarity with data requirements for AI/ML and ability to design models for both human and machine consumption (advantage).

Required skills

• Oracle
• PostgreSQL
• MongoDB
• Dimensional modelling
• Data Vault methodology
• Lakehouse architecture
• Data Mart design
• Big Data ecosystem (e.g., Hadoop, Spark)
• ERwin / PowerDesigner / ER/Studio