Data Architect (Relational, Graph s Hierarchical
Modelling)
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 workplace.
 Graph s 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 s 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 s 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.

📌 Data Architect (India)
🏢 B-Informative IT Services
📍 India