Data Architect(m/w/x)

## Job Description We are seeking a **Data Architect** to join our team in Zurich. In this role, you will design and implement robust data architectures that support our real estate data services, ensuring scalability, performance, and data integrity. You will collaborate with cross-functional teams including data scientists, data engineers, and domain experts to centralize data from multiple internal and external sources, enhance data documentation practices, and integrate diverse data types, including spatial data. **Key Responsibilities** * Data Architecture & Modeling: Design scalable data models for real estate data, including transactions, financial data, and geospatial information.​ * Data Strategy & Cloud Architecture: Drive the evolution of the company’s data strategy by defining future-proof data architectures, including the planning and execution of a scalable cloud migration roadmap. * Database Management: Oversee Microsoft SQL Server databases, focusing on indexing, partitioning, and query optimization. * ​ETL & Data Pipelines: Optimize and standardize existing ETL processes using Apache Airflow and dbt to ensure efficient data integration and transformation. * ​Data Provisioning & Visualization: Support the optimal provisioning and integration of data from various enterprise systems such as Jira, Salesforce, and Abacus to enable data-driven decision-making through Apache Superset dashboards. * Data Governance: Implement best practices for data documentation, lineage tracking, and metadata management to enhance data quality and accessibility. ## Qualifications * Educational Background: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.​ * Experience: Minimum of 5 years in data architecture, data engineering or a related role, ideally within the real estate sector. Proven track record of working through one to two full product lifecycles for large-scale solutions. * Technical Proficiency: * Strong knowledge of Microsoft SQL Server and database optimization techniques. * Strong expertise in cloud-based data architecture and processes, including the design, implementation, and optimization of scalable cloud data solutions. * Experience with ETL tools, particularly Apache Airflow, and data transformation tools like dbt. * Familiarity with containerization and CI/CD pipelines (e.g., Docker, TeamCity, GitLab CI, or GitHub Actions) for data workflows. * Good understanding of data quality, observability, and governance frameworks, including lineage tracking, testing (e.g., Great Expectations, dbt), and documentation. * Preferred: Experience in the financial services industry; familiarity with GIS and spatial data management; and a foundational understanding of Machine Learning concepts and AI tools. Certifications in cloud platforms or enterprise architecture are considered a strong asset. * Soft Skills: * Strong leadership skills, with the ability to guide teams, drive strategic initiatives, and foster a data-driven culture. * Strong communication skills with the ability to collaborate effectively across teams, departments, countries and cultures. * Proven ability to manage multiple projects, prioritize tasks, and meet deadlines. * Excellent problem-solving abilities and keen attention to detail. ## Additional Information **What We Offer** * Innovative Environment: Work with a team dedicated to advancing transparency in the Swiss real estate market.​ * Professional Growth: Opportunities for continuous learning and career development.​ * Flexible Work Arrangements: Options for hybrid work models to promote work-life balance. * Collaborative Culture: Engage in a supportive and dynamic team environment.​