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Offer summary
(Summary generated by AI based on the full job description)
The project builds an AI-native investment ecosystem with a central intelligence layer based on graphs. Core technologies include Neo4j, Graph RAG, Cypher, Snowflake, Airflow. Responsibilities cover designing and implementing the Knowledge Graph, GraphRAG for research-to-entities conversion, adaptive schema evolution with AI feedback, a multi-dimensional asset ontology, AI agents and reasoning frameworks, and ensuring investment decision traceability. Also: source integration, data catalogs and metadata, RBAC/PBAC, temporal versioning, real-time ingestion and data quality/lineage standards.
from: 21 September 2026
to: 21 October 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of employment
Offer parameters
level:mid
working mode:hybrid
location:Kraków, Lesser Poland
Kraków, Lesser Poland
Requirements
Expected technologies
Snowflake
Airflow
Operating system
Windows
Our requirements
- Expertise in Graph Technologies: Deep knowledge of Graph Data Science, Graph RAG and Cypher
- Core Stack: Proven experience with Snowflake and Airflow
- Financial Domain Knowledge: Experience with various Market Data sources and financial datasets
- Advanced AI Integration: A track record of architecture design for heavy AI-driven or AI-assisted systems
- Architectural Leadership: Strong background in Data Architecture, including the design of Data Factories (acquisition to consumption)
- Mentorship: Ability to teach and share knowledge on Cypher, Graph traversals and RAG methodologies with cross-functional teams
Optional
- Experience with AWS cloud infrastructure
- Experience in greenfield project phases (Roadmap development, Backlog prioritization and Blueprinting)
Your 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 Role-Based Access Control (RBAC) and Property-Based Access Control for multi-tenant security
- Integrate temporal versioning and thin-pointer architecture for scalable, duplication-free data management
- Oversee real-time ingestion pipelines for market and operational data
- Document business transformations and establish rigorous data quality/lineage standards
About the project
We are building a groundbreaking, AI-native investment ecosystem designed to revolutionize how the world approaches investment decision-making.
As we enter the greenfield elaboration phase, we are looking for a dynamic, hands-on Data Architect to join our core Program Team. You will be instrumental in designing the blueprints—from data models to AI infrastructure—that will power a platform serving everyone from massive wealth funds to private family offices.
In this role, you will be the primary architect of a sophisticated Data Factory, ensuring that the data layer supports automated investment processes and advanced reasoning.
This is how we work on a project
- Continuous Deployment
- Continuous Integration
What we offer
We gather like-minded people:
We provide growth opportunities:
We cover it all:
Please, note:
Development opportunities we offer
- conferences in Poland
- development budget
- external training
- industry-specific e-learning platforms
- intracompany training
- mentoring
- soft skills training
- space for experimenting
- substantive support from technological leaders
- support of IT events
- technical knowledge exchange within the company
Benefits
- private medical care
- life insurance
- flexible working time
- fruits
- integration events
- retirement pension plan
- no dress code
- video games at work
- coffee / tea
- parking space for employees
- leisure zone
- employee referral program
- charity initiatives
Recruitment stages
- 1.Recruiter Interview (30 min)
- 2.Technical Interview (90 min)
- 3.Manager Interview (60 min)
- 4.Meeting with the Project Team or Client (60 min, optional)
- 5.Welcome Aboard!
EPAM Systems (Poland) sp. z o.o.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Data Solution Architect
I apply to:
EPAM Systems (Poland) sp. z o.o.
Kraków, Lesser Poland
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