
(Senior) Data Architect
- Kraków, małopolskie
- Stała
- Pełny etat
- minimum 6 years of experience in the field of data engineering / analytics engineering, with at least 2 years of experience as a Data Architect
- expert in SQL
- advanced knowledge of Python, Spark, Databricks, Azure, dbt + willingness to work with in-house frameworks for creating data objects
- extensive experience in designing and implementing data warehouses (preferably modern big data warehouses, data lakehouse), (long-term) experience with data modeling in star schema, theoretical and practical knowledge of Kimball approach
- deep understanding of medalion architecture
- proven track record of successfully delivering Big Data & Analytics solutions in the production environment
- proficiency in modern Data & Analytics technology stacks and architectural patterns
- knowledge (+ experience) in optimization of: queries in the Big Data stack, ETL processes, data storage solutions and partitioning strategies for high-performance analytics and processing
- familiarity with the Parquet file format and experience working with Delta Lake, including data versioning, storage optimization, ensuring data integrity, and handling ACID transactions
- understanding of the end-to-end development lifecycle of analytical data products
- high level of communication and cross-team collaboration skills
- familiarity with CI/CD and git (preferred GitLab)
- fluent English
- knowledge of BI tools (Power BI preferred / Tableau)
- experienced in establishing and enforcing data governance policies using Unity Catalog in Databricks for centralized data access control, lineage, and auditing
- capability in defining and managing data quality frameworks, metadata management, and data cataloging
- expertise in implementing role-based access control (RBAC) and data encryption (at rest and in transit) to ensure data security and compliance with regulations like GDPR, CCPA, and HIPAA
- ability to present technical concepts and solutions to diverse audiences
- Significant Impact: Directly influence strategic decision-making through the data architecture designs. See the tangible results of your work across various InPost services and initiatives.
- Cutting-Edge Technology: Work with the latest technologies, including Databricks, Azure, Spark, and more, pushing the boundaries of data processing and analysis. You'll have the chance to explore and implement innovative solutions.
- Professional Growth: Expand your skillset and expertise through ongoing learning, leading cross-functional projects or presenting your work to senior leadership. Train and mentor other team members, sharing your knowledge and shaping future data professionals.
- International Collaboration: Work with diverse stakeholders across various InPost markets, gaining invaluable experience in a global context.
- Data Driven Culture: Contribute to a company deeply committed to data-driven decision-making, where your expertise will be highly valued and actively sought.
- Competitive Compensation and Benefits: Enjoy a competitive salary and a comprehensive benefits package, including options like a cafeteria system allowing you to choose benefits that align with your preferences (e.g., Multisport, private healthcare, shopping vouchers).
- Flexible Work Arrangements: Enjoy the flexibility to choose your work environment. Work remotely, from our modern Krakow or Warsaw office - the choice is yours to create a work setup that best suits your needs and preferences.
- Thrive at InPost: Be part of a vibrant and supportive culture. Join our active employee initiatives, from sports teams and running clubs to social events and volunteering opportunities. We foster a work environment that values well-being and connection.