Data Architect

Overview

Join to apply for the Data Architect role at InPost. 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.

Responsibilities

• Creating a strategy for designing the architecture and implementation process of a global data model, considering source systems within the InPost Group and the business needs of all markets.
• Defining and overseeing the data naming strategy, establishing conventions, harmonizing existing names, and ensuring consistent application across the InPost Group to improve data readability and support automation and AI utilization.
• Collaborating with 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.
• Training and mentoring data engineering and data consulting teams on data modeling approaches.
• Creating comprehensive, multi-layered technical documentation detailing the data architecture and solutions at InPost Group.

Requirements

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The recruitment process

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