Job Description

Purpose of the Job

Quintet Private Bank is a leading private bank in the wealth management sector; we are committed to our clients and their families, and pride ourselves on our personalised service based on a deep understanding of what clients want to achieve. We are a bank headquartered in Luxembourg with an ambition to stay true to our purpose to be the most trusted fiduciary of family wealth.

When you join Quintet you are joining a company that values diversity of background, equal access to opportunities, career development, collaboration and inclusiveness. We want our employees to feel proud of being part of a company that is committed to do the right thing. You will have the opportunity to grow your career while developing personally and professionally through various resources and programmes.

Are you driven by a passion for designing transformative data architectures and unlocking the potential of data in the wealth management sector? Do you thrive on creating innovative solutions that enable business success? We are seeking a visionary Data Architect Specialist to join our newly established Group Data & Analytics Office.

In this pivotal role, you will play a central role in shaping Quintet's enterprise data architecture, ensuring alignment with business goals and driving data-driven innovation. You will lead the design and implementation of scalable, secure, and cutting-edge data solutions, leveraging modern technologies. By enabling seamless integration and insights, you will empower our business to succeed in an increasingly competitive landscape.

This is a unique opportunity to define the future of how data supports decision-making and Strategy. If you are ready to shape the next generation of data ecosystems and make a lasting impact, we want to hear from you!

Key Accountabilities

• 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.

Knowledge and Experience

• Further professional Education (Masters / Professional qualification)
• More than 5 years experience in a similar role

Attributes and Qualities

• Client-Centric Mindset
• Communication (Verbal & Written)
• Adaptability & Learning Agility
• Time Management
• Collaborative Teamwork

Technical Skills

• 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,
  AWS, Microsoft Azure, Databricks, and Dataiku.
• Mastery of data technologies such as SQL, NoSQL, ETL tools, Apache Spark, Kafka, and modern API frameworks
• Experience implementing AI/ML pipelines or integrating advanced analytics tools into operational workflows
• Strong understanding of data security, privacy, and compliance standards

Languages Skills

• Fluent in English, French would be a plus