Data Architect

Company Description Авторозборка is an automotive parts and services company located in Sambir, focusing on the efficient sourcing, processing, and distribution of vehicle components. The organization is committed to reliable operations, data-informed decision-making, and continuous process optimization to support both retail and wholesale customers. Teams collaborate closely across operations, logistics, and technology to maintain accurate inventories and high service standards. The company values practical innovation and structured data management to drive efficiency and sustainable growth for the business and its partners.
Role Description The Data Architect will design, implement, and maintain the overall data architecture that supports core business operations at Авторозборка. This is a full-time, on-site role based in Sambir. Day-to-day responsibilities include defining data models, overseeing data integration processes, and ensuring data flows between operational systems and analytical platforms are consistent and reliable. The role involves collaborating with operations, IT, and management teams to translate business requirements into scalable data solutions, including data warehouses and ETL processes. The Data Architect will also establish data standards, support data quality initiatives, and document architecture and governance practices to ensure secure and compliant data usage.
Qualifications
Candidates should possess strong skills in Data Architecture and Data Modeling to design scalable, maintainable data structures.
Candidates should possess skills in Extract Transform Load (ETL) and Data Warehousing to build and optimize data integration and storage solutions.
Candidates should possess skills in Data Governance to define standards, policies, and controls for data quality, security, and access.
Experience with relational and non-relational databases, SQL, and data integration tools is beneficial.
Ability to work closely with cross-functional teams, translate business needs into technical solutions, and communicate clearly with non-technical stakeholders.
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent practical experience.
Background in automotive, logistics, or inventory-heavy environments is an advantage.

Work arrangement
Yes