Data Architect

This is a fully remote position, open to applicants in Croatia.

📋 Description

• Take charge of and define the backend data architecture along with dependable data pipelines that connect ERP systems, business applications, and the data platform.

• Lead the data engineering workstream, making key technical decisions for data architecture and ensuring platform reliability.

• Analyze data flows, dependencies, and interactions among systems within the Customer’s technology ecosystem.

• Partner with engineering and product teams to guarantee accurate data synchronization across various systems.

• Develop monitoring, alerting, and recovery systems to enhance pipeline reliability.

• Assist in revitalizing the company's analytics capabilities by facilitating high-quality and trustworthy data.

• Enhance the current data infrastructure while minimizing technical debt and boosting maintainability.

• Engage in Scrum ceremonies, which include sprint planning, daily stand-ups, retrospectives, and backlog refinement.

• Collaborate with cross-functional stakeholders to comprehend business requirements and transform them into scalable data solutions.

• Participate in code reviews, contribute to documentation, and support continuous improvement initiatives.

• Assume responsibility for the overall quality, stability, and long-term evolution of the data platform.

• Work closely with the Software Architect to ensure that data and engineering strategies support one another and contribute to a stable system.

• Lead the data engineering workstream for a luxury retail client's e-commerce platform, including online storefronts, ERP integrations, data warehouse, and analytics capabilities.

⛳️ Requirements

• 7+ years of professional experience in designing, building, and maintaining production-grade data platforms and ETL pipelines.

• Establish clear data definitions and governance processes to create a high-performing data team that delivers high-quality data products.

• Possess expert-level SQL skills with a background in optimizing complex queries and managing large datasets.

• Hands-on experience in designing and operating reliable ETL/data synchronization pipelines, including monitoring, alerting, failure recovery, and operational excellence.

• Significant experience in schema design, performance optimization, and working with Snowflake and PostgreSQL databases.

• Professional experience with Java or Python codebases.

• Comfortable navigating limited documentation, taking ownership of ambiguous challenges, and making autonomous technical decisions.

• Excellent collaboration abilities for effective interaction with Engineering, Product, and other cross-functional teams.

• Demonstrated capability to enhance existing systems while balancing technical debt, scalability, and business priorities.

• Experience in implementing or supporting BI and analytics platforms.

• Active involvement in hiring processes by serving on interview panels for prospective roles.

• Employment is contingent upon providing documentation that verifies legal work authorization in the country of residence.

• Nice-to-have: Experience in building or maintaining Kafka or other streaming data pipelines.

• Nice-to-have: Familiarity with Elasticsearch.

• Nice-to-have: Prior experience in e-commerce, ERP, or retail data domains.

• Nice-to-have: Experience in inheriting and modernizing legacy data platforms.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career advancement.

• Flexible work hours and remote work options.

• A collaborative and inclusive company culture.