Data Solution Architect
Коротко
Owns data architecture solutions, including knowledge graphs and RAG, using Neo4j and Snowflake · Needs: Data architecture, Neo4j, Cypher, Snowflake, Airflow, RAG
Описание от работодателя
Required skills: Data architecture, Knowledge graphs, Neo4j, Cypher, Data modeling, Retrieval-Augmented Generation, Snowflake, Airflow, Market Data
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.