Data Architect

Become a leader of our data engineering team and help us build the foundation of our data-driven success! As a Data Architect, you will be at the forefront of designing, implementing, and maintaining our data infrastructure. You will lead a small team of data engineers, working collaboratively to build data lakes, data warehouses, pipelines, and monitoring systems. Your expertise will be crucial in ensuring data quality, accessibility, and reliability across the organization.

This is a fully in-office role based in Kraków.

Key Responsibilities:

• Data Infrastructure Development: Lead the design and implementation of data lakes, data warehouses, pipelines and DataOps.
• Data Modeling: Develop and maintain data models to support data warehousing and analytical use cases.
• Data Orchestration and DataOps: Oversee the creation of robust data pipelines, ensuring efficient data flow and (near) real-time processing.
• Data Acquisition: Collaborate with various teams to acquire and integrate data from multiple sources, including large industry-secific databases and primary data provided by partners.
• Monitoring Systems: Establish monitoring systems to ensure data quality, accuracy, and availability.
• Leadership: Manage and mentor a team of data engineers, fostering a collaborative and innovative environment.
• International Collaboration: Work effectively within a diverse, international team spread across Switzerland, Serbia, and China.

Required Hard Skills:

• University degree, ideally a PhD or Masters in Computer Science or related science, technology or engineering field
• 8+ years of relevant work experience in data engineering roles.
• Expertise in designing larger scale data systems
• Expertise in data acquisition, laking, warehousing, modeling, and orchestration.
• Strong knowledge of common columnar file formats used in data applications.
• Proficiency in data partitioning and incremental scalability
• Proficiency in data quality and data governance
• Proficiency in SQL (including window functions and CTE).
• Hands-on experience with RDBMS (e.g., MySQL, PostgreSQL).
• Proficiency in Python (with libraries like Polars, optionally Arrow / PyArrow API).
• Proficiency with OLAP query engines (e.g., Clickhouse, DuckDB, Apache Spark).
• Proficiency with Apache Airflow (or similar orchestration tools like Dagster or Prefect).
• Experience with Linux (Ubuntu/Debian).
• Experience with dbt.
• Familiarity with orchestration and containerization technologies (e.g., Docker, Kubernetes).

Good to Have:

• Experience in entity disambiguation.
• Experience with Git and Atlassian tools (Jira, Confluence).
• Understanding of graph databases (e.g., neo4j).

Required Soft Skills:

• Strong teamwork and communication abilities.
• Self-motivated with the ability to work independently.

Why Join Us?

• Be part of a dynamic and innovative team at the forefront of data technology.
• Opportunity to lead and shape a new team, driving impactful projects.
• Work in a collaborative environment that values creativity and diversity.
• Competitive salary.
• Private medical care (fully covered).
• MultiSport card (partially covered).
• Team building activities

If you are interested in this position, we look forward to receiving your complete application. Please submit your CV in English.

We look forward to welcoming you to our team in Krakow

About MDPI

A pioneer in scholarly, open access publishing, MDPI has supported academic communities since 1996. Headquartered in Basel, Switzerland, MDPI has the mission to foster open scientific exchange in all forms, across all disciplines.

We operate currently over 400 diverse, peer-reviewed, open-access journals supported by over 66,000 academic editors. We serve scholars from around the world to ensure the latest research is openly and broadly available.

Besides our main publishing business, we develop and maintain digital platforms and software ranging from scientific exchange platforms to article databases and search engines, all focused on empowering scholars and giving them the best possible product and service. As of the end of 2022, we count more than 6700 colleagues in 17 offices across 11 countries.

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At MDPI, we develop and maintain various platforms in order to better serve the scientific community. Please find below a list of our main platforms:

https://www.mdpi.com/

https://sciprofiles.com/

https://sciforum.net/

https://www.scilit.net/

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https://encyclopedia.pub/

https://www.mdpi.com/books/