Data Architect (Relational, Graph & Hierarchical Modelling)

Greeting from TEKNIKOZ

Location-Remote

Experience-8 years

Key Responsibilities

• Architectural Leadership: Finalize end-to-end data architectures and technical roadmaps, ensuring they meet the requirements of a high-concurrency, multi-client application environment.
• Graph & Hierarchical Modelling: Design and implement advanced hierarchical data structures using Neo4j, transitioning traditional relational data into high-performance graph models for complex relationship mapping.
• Centralized Metric Hub: Build and govern a centralized Metric Store (Headless BI) that ensures a single source of truth for KPIs across Power BI dashboards and external API-driven applications.
• Security & Governance: Implement PBAC (Policy-Based Access Control) engines to manage granular data access dynamically based on user attributes and organizational policies.
• Hybrid Data Engineering: Orchestrate data flows across a diverse stack including Databricks (Lakehouse), PostgreSQL, and SQL Server.
• Project Management: Manage project timelines, lead technical sprints, and mentor developers to ensure delivery against the architectural vision.
• Required Technical Expertise Graph Databases: Expert-level knowledge of Neo4j (Cypher, Graph Data Science) for modeling complex hierarchies and networks.
• Data Platforms: Proven experience with Databricks (Spark, Delta Lake) and managing both relational stores (SQL Server, PostgreSQL).
• BI & Visualization: Deep understanding of Power BI integration, specifically connecting to semantic models and metric layers.
• Access Control: Hands-on experience with PBAC or Attribute-Based Access Control (ABAC) frameworks for enterprise security.
• Application Integration: Experience designing APIs or data layers that serve both analytical tools and transactional applications.