Senior Data Integration Engineer (Airflow, Snowflake)

Description

We are seeking a Senior Data Integration Engineer (Airflow, Snowflake) to design and implement a robust data factory that powers AI-driven investment intelligence. In this role, you will architect scalable data integration solutions, build advanced graph-based data layers and ensure secure, high-quality data management across the platform. Responsibilities Identify and integrate structured, unstructured and semi-structured data sources Implement role-based access control (RBAC) and develop logical data models, ensuring compliance and data lineage Document business transformations and establish data quality approaches and rules Create a comprehensive data catalog and register data assets with metadata, focusing on sensitivity and security Translate and implement the architectural blueprint for the Data Factory, encompassing acquisition, preparation and consumption Ensure robust data management and quality to support automated investment processes and AI-driven analytics Implement a Neo4j-powered Knowledge Graph as the central data layer for investment intelligence, linking research, strategies and portfolio actions into a lineage graph for decision traceability Develop and maintain a multi-dimensional asset ontology for flexible categorization and cross-dimensional analysis Integrate temporal versioning to support time-aware queries and historical context preservation Incorporate GraphRAG for transforming unstructured documents into queryable graph entities with source attribution Implement property-based access control for secure, multi-tenant data visibility and query-level protection Oversee real-time data ingestion pipelines and the implementation of scalable data warehousing solutions using Snowflake Requirements 3+ years of experience in data integration and engineering Strong proficiency in Snowflake and Airflow Deep knowledge of GraphRAG, Graph Data Structures and Data Sharding concepts Background in Data Architecture/Design with experience across various market data sources Expertise in integrating with heavy AI-driven and assisted architecture Capability to share knowledge with EPAM and client teams on Cypher, Graph and RAG traversals English proficiency at B2 level or higher Nice to have Familiarity with AWS for cloud-based solutions

Requirements

• 3+ years of experience in data integration and engineering

• Strong proficiency in Snowflake and Airflow

• Deep knowledge of GraphRAG, Graph Data Structures and Data Sharding concepts

• Background in Data Architecture/Design with experience across various market data sources

• Expertise in integrating with heavy AI-driven and assisted architecture

• Capability to share knowledge with EPAM and client teams on Cypher, Graph and RAG traversals

• English proficiency at B2 level or higher

Zakres obowiązków

• Identify and integrate structured, unstructured and semi-structured data sources

• Implement role-based access control (RBAC) and develop logical data models, ensuring compliance and data lineage

• Document business transformations and establish data quality approaches and rules

• Create a comprehensive data catalog and register data assets with metadata, focusing on sensitivity and security

• Translate and implement the architectural blueprint for the Data Factory, encompassing acquisition, preparation and consumption

• Ensure robust data management and quality to support automated investment processes and AI-driven analytics

• Implement a Neo4j-powered Knowledge Graph as the central data layer for investment intelligence, linking research, strategies and portfolio actions into a lineage graph for decision traceability

• Develop and maintain a multi-dimensional asset ontology for flexible categorization and cross-dimensional analysis

• Integrate temporal versioning to support time-aware queries and historical context preservation

• Incorporate GraphRAG for transforming unstructured documents into queryable graph entities with source attribution

• Implement property-based access control for secure, multi-tenant data visibility and query-level protection

• Oversee real-time data ingestion pipelines and the implementation of scalable data warehousing solutions using Snowflake

Seniority

• Senior

Mile widziane

• Familiarity with AWS for cloud-based solutions