Data Architect (f/m/d)

As Data Architect, you work closely with product owners, data professionals, developers, and business stakeholders from finance and fraud. You turn customer feedback into actionable insights within the Order Management Area, advise on architectural design decisions, and translate company-wide goals into clear team objectives.

What you move

• Collaborate with other teams and stakeholders to understand the data architectural landscape within the company
• Advise on best practices for technical decisions within the team that align with the company goals
• Communicate and present updates across the company to the team, and convert these updates into actionable goals
• Drive and expand data science and analytics engineering initiatives within the Finance area, enhancing our capabilities and impact
• Contribute to the community of Data Scientists and Analytics Engineers at Digitec Galaxus by enhancing our models, our codebase and our platform

What you will bring

• 10+ Years
• ML-driven Data Architecture in Finance & Fraud (E-Commerce)
• Completed degree (university / university of applied science / higher technical college)
• Data Architecture / Data Science
• English (Fluent)
• Master's degree or higher in a data-focused field (e.g., Data Science, Statistics, Mathematics)
• 10+ years of experience with creating actionable insight from data, preferably in a financial risk domain, 5+ of which in a senior role
• Practical experience in applying machine learning techniques. Particularly in the areas of fraud detection, and credit risk would be a plus
• Hands-on experience with real-time and data streaming technologies would be advantageous
• Strong communication skills, with the ability to explain concepts in a clear and relatable way to diverse audiences
• Ability to coach and lead other Data Scientists and Analytics Engineers in best practices and technologies
• Experience in making ETL architectural decisions for ML use cases in larger organisational settings, and up to date with the latest data technologies
• Proven track record of projects in Python, and SQL, and able to lead conversations around the optimal use of both
• Experience deploying ML models on cloud platforms
• Knowledge of data privacy regulations (e.g., GDPR, EU AI act) and a commitment to maintaining high standards of data security
• Experience with agile methodologies, effectively working within cross-functional teams and collaborating closely with product owners and business stakeholders
• Ability to identify opportunities for improvement and acting as the interface between data and platform teams
• Prioritises empathy and compassion in decision-making
• Fluency in English is required
• Identifying opportunities for improvement and implementing changes to enhance productivity and effectiveness
• Taking calculated risks to create value and drive growth

The benefits we offer

• Values, not empty words – Cooperative, innovative, piratesque, responsible, ambitious – these five values are what we practice and preach.
• Courageous thinking – We encourage everyone to think on their feet, and love it when they come up with bold or edgy ideas.
• Uncomplicated approach – Simplicity is at our core. We avoid the unnecessary and focus on what really matters – from overcoming challenges to celebrating our shared successes.
• Flexibility and freedom (Office Jobs) – We offer working-from-home options, up to 8 weeks of workation, and every position is possible with an 80% workload.
• Rapid growth – With us, growth is a continuous journey. We also support you with EDU Points (CHF 2,000 for employees in Switzerland, EUR 1,600 for employees in Germany, and EUR 700 for our Serbian employees) for your professional development, so there’s no risk of you getting stuck in a rut.
• More Benefits Switzerland – 25 days of holiday, exclusive employee conditions in our online shop, mobile, internet and TV plans at company rates and many other benefits.