Data Engineer (Data Architecture & Integration)

Junior Data ArchitectJob Description Required Education: High School or Equivalent Required Experience: 3 to 5 years of experience in Data Architecture, Data Engineering, Data Integration, or related disciplines. Experience collaborating with both business and technical stakeholders. Exposure to data governance, metadata management, or regulatory environments is a plus. Experience working with enterprise data ecosystems and SaaS applications. Required Skills: Data modeling (Conceptual, Logical, Physical) SQL and relational databases Data integration and ETL/ELT concepts (Informatica, Talend) API-based integrations Cloud data platforms (Snowflake, Databricks, Azure, AWS, or GCP) Data governance and metadata management Strong problem-solving and analytical mindset Ability to translate or align business and data backend requirements Ability to work in a complex, cross-functional global environment. Effective communication and presentation skills. Ability to manage ambiguity and evolving business requirements. Strong collaboration and influencing skills. Preferred Skills: SaaS platform integrations Data catalog tools Data lineage solutions Power BI or Tableau Knowledge of AI/GenAI data foundations Risk Management, GRC, Audit, or Compliance platforms Position Overview: The Junior Data Architect reports to the Transformation Office VP within the Governance Transformation & Data Office. The role involves close collaboration with Business and Technical Platform Product Owner (mainly Resolver), RLM program team as well as key stakeholders across Client Digital and Data & Performance teams, Data Domains, and E2E Data Flow Architects. Job Responsibilities: Data Architecture & Modeling Define and maintain risk management data models, including functional entities and processes, across Resolver and associated applications. Develop conceptual, logical, and physical data models. Contribute to enterprise data cataloging and metadata management. Ensure alignment with Client data standards and architecture principles. Data Governance & Quality Support implementation of data governance policies and standards. Ensure compliance with security, privacy, and regulatory requirements. Define and monitor data quality controls, KPIs, and remediation processes. Support data ownership and stewardship practices. Integration & Data Flows Design and document data flows between Resolver, Optro, enterprise platforms, and Group data lakes. Support API, ETL, and integration initiatives. Collaborate with Client Digital teams to ensure sustainable and scalable integrations. Participate in architecture reviews and accreditation activities. Analytics & AI Enablement Enable reporting, analytics, and AI use cases through high-quality data foundations. Collaborate with business analysts, data engineers, and data scientists. Support data availability for governance and risk performance dashboards. Architecture Documentation Maintain architecture documentation, data lineage, metadata, and technical standards. Document key design decisions and support architecture governance processes. Identify opportunities to modernize data architecture and integration patterns. Stakeholder Collaboration Translate business needs into scalable technical solutions. Work closely with Product Owners, Solution Architects, Data Domains, and business stakeholders. Facilitate alignment between governance functions and technical teams.**Only those lawfully authorized to work in the designated country associated with the position will be considered.****Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**