Data Architect

Company Description

InPost Group is an innovative European out-of-home deliveries company revolutionizing the way parcels are delivered to customers. With operations across several countries our network of intelligent lockers (Paczkomat®) provides customers with a fast convenient and secure delivery option. Our mission is to provide best-in-class user experience for merchants and consumers. 'Simplify everything' – redefining e-commerce logistics. We work by innovating the market with constant technological research and with meticulous attention to the customer.

We are seeking a highly skilled and visionary Data Architect to lead the strategic design and implementation of our global data model at InPost. This role demands a passion for building robust scalable and future-proof data ecosystems.

The ideal candidate will possess a deep understanding of modern data architecture principles including medallion architecture and experience with cutting-edge frameworks for processing large-scale datasets.

This role encompasses performance optimization for vast data volumes establishing clear naming conventions for consistency and collaborating effectively with diverse stakeholders across the InPost Group to ensure alignment with business needs and technical feasibility.

Job Description

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.

Qualifications

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

Additional Information

The course of the recruitment process:

• Step 1 : HR Interview

• Step 2 : Devskiller test

• Step 3 : Technical Interview (60 min)

• Step 4 : Home task

• Step 5 : Home task presentation and discussion (60 min)