AI-Driven Data Architect: Knowledge Graph Platform

EPAM Systems; Kraków; Hybrid; PLN 280,000 - 420,000; Full time

Benefits offered by this job

Hybrid by design

Remote work within Poland

Employee Stock Purchase Plan

Health insurance

Multisport card

Shopping vouchers

English classes

Relocation opportunities

Job summary

EPAM Systems is seeking a hands-on Data Architect to lead the design of a Neo4j-powered Knowledge Graph and AI-driven data factory for an AI-native investment platform. You will champion data models, metadata catalogs and scalable data lineage across research, strategies and portfolio actions.

You will guide Graph RAG integrations, adapt schemas with AI feedback and mentor teams on Cypher, graph traversals and RAG methodologies.

Qualifications

• Expertise in Graph Data Science, Graph RAG and Cypher.
• Core Stack: Snowflake and Airflow.
• Financial domain knowledge with market data sources.

Responsibilities

• Design and implement a Neo4j-powered Knowledge Graph as the central intelligence layer.
• Incorporate GraphRAG to transform unstructured research into queryable entities with full source attribution.
• Architect adaptive schema evolution with AI-driven feedback loops and genetic algorithm principles.
• Develop a multi-dimensional asset ontology for cross-dimensional financial analysis.
• Design and implement AI agents, agentic harnesses and reasoning frameworks.
• Ensure investment decision traceability by linking research, strategies and portfolio actions in a lineage graph.
• Identify and integrate structured, unstructured and semi-structured data sources.
• Develop logical data models and establish comprehensive data catalogs with metadata registration.
• Implement RBAC and PBAC for multi-tenant security.
• Integrate temporal versioning and thin-pointer architecture for scalable data management.
• Oversee real-time ingestion pipelines for market and operational data.
• Document business transformations and establish data quality/lineage standards.

Skills

Graph technologies

Cypher/Graph traversal

Graph RAG

Data architecture leadership

Mentorship

AI integration design

Market data knowledge

Tools

Snowflake

Airflow

Job description

EPAM Systems is seeking a hands-on Data Architect to lead the design of a Neo4j-powered Knowledge Graph and AI-driven data factory for an AI-native investment platform. You will champion data models, metadata catalogs and scalable data lineage across research, strategies and portfolio actions.

You will guide Graph RAG integrations, adapt schemas with AI feedback and mentor teams on Cypher, graph traversals and RAG methodologies.