Data Architect (m/f/n)

Your responsibilities:

• Creating a strategy for designing the architecture and implementation process of a global data model, taking into account the multitude of source systems within the InPost Group, and thus the specific business needs of all markets within the InPost Group.
• Defining and overseeing the data naming strategy, establishing conventions, harmonizing existing names, and ensuring consistent application across the InPost Group. This will improve data readability and understanding, facilitate inter-team communication, and support process automation and AI utilization throughout the entire organization.
• Collaboration at various levels, including senior stakeholders from all InPost Group markets, to identify and prioritize data initiatives that drive business value.
• Staying at the forefront of data architecture trends and technologies, recommending and implementing innovative solutions to enhance InPost's data capabilities.
• Training and mentoring of data engineering and data consultanting teams on data modeling approaches (theory, tools, strategies).
• Creating comprehensive, multi-layered technical documentation that specifies the technical aspects of the data architecture, providing a clear and concise description of the solutions at InPost Group.

Requirements:

• Minimum 6 years of experience in the field of data engineering / analytics engineering
• 2 years of experience as a Data Architect
• Expertise in SQL
• Advanced knowledge of Python, Spark, Databricks, Azure, DBT, as well as 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
• Proficiency in modern Data & Analytics technology stacks and architectural patterns
• Knowledge and 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 Polish and English

We will appreciate also:

• 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