DATA ARCHITECT

 

We are looking for an experienced and strategically minded Senior DWH/Data Architect to join our team and help elevate our data environment to the next level. If you have a passion for designing complex data warehouse structures and want to play a key role in shaping the project’s data strategy, you’re in the right place.

 

As a Senior Data Architect, you will be responsible for designing, developing, maintaining, and optimizing the entire data infrastructure. Your key responsibilities will include:

• Strategic Data Architecture: Translating business requirements into technical data models (conceptual, logical, and physical), specifically for the data warehouse and BI systems.
• Defining and overseeing data modeling standards (ERD, SCD2, star/snowflake schema).
• Data Governance and Quality Assurance: Defining and enforcing policies for data governance, security, integrity, and compliance within the DWH environment.
• System Design: Designing and implementing robust and scalable database systems, data warehouses (DWH), and data pipelines.
• Designing and implementing ETL/ELT processes in Apache NiFi, including performance monitoring and optimization.
• Technology Selection: Evaluating and recommending new technologies and tools for data storage, processing, and analytics.
• Mentorship and Leadership: Providing technical mentorship to junior data professionals and collaborating closely with cross-functional teams, especially BI developers.

 

Requirements

• At least 5 years of relevant professional experience in data‑warehouse architecture or in a comparable senior data‑focused role.
• Strong analytical skills, excellent communication abilities, and the capacity to lead initiatives.
• Comprehensive knowledge of database technologies (SQL/NoSQL) and data modeling.
• Advanced expertise in PostgreSQL and SQL performance optimization.
• Experience with Apache NiFi or other ETL/ELT tools.
• Knowledge of Power BI and an understanding of data‑modeling principles for reporting.
• Experience in managing a small team of analysts and engineers.
• Familiarity with Data Governance, Data Quality, and Master Data Management concepts.
• Experience with version control and CI/CD for data pipelines (e.g., GitLab) — an advantage.
• Hands‑on experience with data monitoring and automated data testing — an advantage.
• Knowledge of cloud‑based DWH platforms — an advantage.

 

Place of work: Bratislava / hybrid