Data Architect
Quintet Private Bank Alle Jobs anzeigen
- Luxemburg
- Unbefristet
- Vollzeit
- Data Strategy : Contribute to the development of the Data & Analytics strategy that aligns with business goals, emphasizing the creation of value through data-driven insights. You will play a key role in designing and maintaining Quintet's data architecture framework, ensuring it supports strategic business objectives and drives innovation across the organization
- Architecture Development : Design scalable, agile, interoperable and secure data platforms and pipelines, integrating structured, unstructured, and real-time data sources. Develop and enforce best practices for data modeling, metadata management, semantic layer design, and data integration across the bank. Design and optimize data flows between critical systems, core banking platforms, such as CRM, analytics systems, and regulatory reporting tools. Ensure that solutions are cloud-native and future-ready, leveraging platforms like Snowflake, Databricks, Dataiku or Microsoft Fabric. Implementation of a MDM (Master Data Management) solution, ensuring data consistency, integrity, and governance across the bank
- Leadership & Stakeholder Engagement : Act as the bridge between business and technology, ensuring alignment between business needs and technical delivery. Partner with cross-functional teams of data engineers, analysts, and technologists to implement architecture designs. Engage with stakeholders from Finance, Risk, Compliance, Operations, HR, Front Office and IT to ensure regulatory alignment and robust security.
- Innovation & Emerging Technologies : Stay ahead of the curve by assessing emerging trends in data, AI, and machine learning and their applicability to banking. Spearhead innovation initiatives, such as real-time analytics, AI-driven insights, and predictive data modeling. Advocate for modern data architecture patterns, such as data mesh, data fabric, and event-driven architectures.
- Further professional Education (Masters / Professional qualification)
- More than 5 years experience in a similar role
- Client-Centric Mindset
- Communication (Verbal & Written)
- Adaptability & Learning Agility
- Time Management
- Collaborative Teamwork
- 10+ years of experience in data architecture, enterprise data management, or a related role, with significant exposure to financial services or regulated industries.
- Proven experience leading large-scale data transformations in complex, multi-business environments.
- Deep expertise in data architecture design, encompassing operational, analytical, and streaming use cases, with hands-on experience in leading platforms such as Snowflake,
- Experience implementing AI/ML pipelines or integrating advanced analytics tools into operational workflows
- Strong understanding of data security, privacy, and compliance standards
- Fluent in English, French would be a plus