Data Solution Architect

EPAM Systems; Województwo pomorskie; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid by design

Remote work within Poland

Relocation opportunities

English classes

Employee stock purchase plan with 15%"

Job summary

EPAM Systems seeks a hands-on Data Architect to design a scalable Data Factory and AI-driven data infrastructure for an AI-native investment platform. You’ll lead the Neo4j Knowledge Graph project, enable GraphRAG, and craft data models, catalogs and secure multi-tenant access.

The role requires strong leadership in data architecture, experience with financial datasets, and a track record of integrating AI into data platforms. Hybrid work with Poland-based remote options supported.

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 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.

Skills

Graph Data Science

GraphRAG

Cypher

Snowflake

Airflow

Financial data

AI integration

Data architecture

Mentorship

Tools

Neo4j

Job description

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.

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

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

Nice to have

• Experience with AWS cloud infrastructure
• Experience in greenfield project phases (Roadmap development, Backlog prioritization and Blueprinting)

We offer

• We gather like-minded people:
  • Top tech minds driving innovation in AI, cloud and digital platform modernization
  • Supportive team and agile, startup-like culture
  • Hybrid by design mode and opportunity to work remotely within Poland
  • Chance to work abroad for up to 60 days annually
  • Business-driven relocation opportunities
• We provide growth opportunities:
  • Career development programs
  • Thought leadership, mentoring, soft skills and well-being programs
  • Certification (Anthropic, Gemini, GCP, Azure, AWS)
  • English classes
• We cover it all:
  • Stable pay
  • Participation in the Employee Stock Purchase Plan with a 15% discount
  • Benefits package (health insurance, multisport, shopping vouchers)
  • Referral bonuses up to $2,000
  • Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
  • Corporate, social and well-being events
• Please, note:
  • Benefits listed above are available to employees only
  • We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
  • We will reach out to selected candidates exclusively

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.