Lead Graph Data Architect: Knowledge Graph & Data Contracts

Convo; Islamabad; On-site; PKR 3,000,000 - 7,000,000; Full time

Benefits offered by this job

Medical benefits

Free lunch

Performance recognition

Job summary

CONVO is seeking a Senior Data Architect to own the data architecture and knowledge-graph foundation supporting its CPG-focused platform. You’ll design canonical data models, knowledge-graph structures, and versioned data contracts across CUBE and downstream data products, with hands-on expertise in Neo4j, TigerGraph, semantic modeling and schema governance.

You’ll work with data engineering, AI, and application teams to ensure consistent business semantics, scalable data structures, and

Qualifications

• 8+ years in data architecture or enterprise data modelling.
• 3+ years with graph databases or knowledge graphs.
• Hands-on Neo4j/TigerGraph experience.
• Strong dimensional and semantic modelling.
• Experience with data contracts and schema evolution.

Responsibilities

• Define canonical CPG entities, relationships, and graph structures.
• Own versioned data contracts from RAW through CUBE to downstream APIs.
• Chair schema reviews and approve migration plans.
• Design graph persistence and query patterns with Neo4j or TigerGraph.
• Align batch, streaming, and feature serving representations.
• Document architecture decisions and conformance tests.

Skills

Data architecture

Graph databases

Neo4j

TigerGraph

Semantic modelling

Data contracts

Schema governance

CPG/retail data

Data modelling

Leadership

Tools

Databricks

Delta Lake

GraphQL

gRPC

Job description

CONVO is seeking a Senior Data Architect to own the data architecture and knowledge-graph foundation supporting its CPG-focused platform. You’ll design canonical data models, knowledge-graph structures, and versioned data contracts across CUBE and downstream data products, with hands-on expertise in Neo4j, TigerGraph, semantic modeling and schema governance.

You’ll work with data engineering, AI, and application teams to ensure consistent business semantics, scalable data structures, and