Information Technology - Database Engineer I

Information Technology & Information Systems, Database Programming, Stewardship, Data Science, Data Quality, Risk, Risk Management, Analysis Skills, Ecosystems, Application Programming Interface (API), with 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 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.Experience & skillsTechnical skills* Required:o Data modeling (Conceptual, Logical, Physical)o SQL and relational databaseso Data integration and ETL/ELT concepts (Informatica, Talend)o API-based integrationso Cloud data platforms (Snowflake, Databricks, Azure, AWS, or GCP)o Data governance and metadata management* Nice to have:o SaaS platform integrationso Data catalog toolso Data lineage solutionso Power BI or Tableauo Knowledge of AI/GenAI data foundationso Risk Management, GRC, Audit, or Compliance platformsBusiness & transversal skills* 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.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.