Data Architect

We are Europe’s leading out of home delivery partner, making deliveries secure and convenient for millions of customers every day.

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.

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

• 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

• 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

What’s in it for you:

• 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.

The course of the recruitment process:

• Step 1: CV screening

• Step 2: Devskiller test

• Step 3: Technical Interview (60 min)

• Step 4: Home task

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