Lead Data Architect
Role details
Job location
Tech stack
Job description
As a Lead Data Platform Architect, you are responsible for architecting data platforms laying the foundation for advanced applications including AI. You explain architectural choices in a way that resonates with stakeholders and inspire them with your vision. Your deep understanding of modern data platforms, security, and governance, coupled with a DevOps mindset, enables you to create sustainable, value-driven solutions. With a concept-driven approach and practical data engineering skills, you empower your team to succeed in high-impact projects. You operationalize machine learning prototypes into production-ready systems and implement principles such as transparency, reproducibility, and measurability. Whether on-premises or in the cloud, you design optimal solutions using platforms like AWS, Azure, and GCP. As a thought leader, you help shape Zühlke's offerings, drive service development, engage in pre-sales, and stay on top of market trends. You actively contribute to the growth of internal talent and educate clients on data possibilities. How you'll make an impact
- Design and implement foundational architectures for sophisticated data-driven solutions.
- Bring deep methodological and conceptual expertise to create sustainable, client-oriented architectures.
- Apply strong data engineering skills to guide teams with optimal data structures, processing pipelines, and management strategies.
- Operationalize data and ML solutions by implementing traceability, transparency, reproducibility, and measurability.
- Architect and deploy solutions on both cloud (AWS, Azure, GCP) and on-premise environments.
- Position data science and ML as enablers of digital transformation and communicate their value to clients.
- Actively shape Zühlke's data platform services and market offerings, including pre-sales and proposal development.
- Monitor and anticipate data and platform trends to keep our capabilities at the cutting edge.
- Provide internal and external thought leadership in data platforms through training, mentorship, and community-building.
Requirements
Do you have experience in Spark?, Do you have a Bachelor's degree?, * Passion for sustainable software architecture and experience leading technical mandates.
- In-depth knowledge in various aspects of data engineering and machine learning with a deep understanding both capabilities and limitations.
- Strong communication skills, confident presence with clients, and intrinsic motivation to lead.
- Architectural decisions guided by non-functional requirements like availability, flexibility, maintainability, and security-balanced with business value.
- Awareness of how architectural choices impact implementation at the code level.
- A completed university degree (ETH, university, FH) in Computer Science, Mathematics, or similar.
- Proficiency in technologies such as Apache Airflow, Apache Spark, Kubernetes, Docker, Python, SQL, Java, and a range of databases (relational, columnar, NoSQL), including experience with stream or batch processing.
- Fluency in both German and English is required.