• Scope / (Content Leadership): Leads the design and construction of large-scale data architectures. Oversees and mentors junior engineers while driving technical excellence and setting standards across the team.
• Accountability/Problem Solving: Solves highly complex data engineering problems and troubleshoots intricate performance issues. Ensures that critical data infrastructure and systems remain highly scalable, secure, resilient, and efficient.
• Stakeholder Management: Liaises with senior leadership to align on data strategy and organizational needs. Guides and directs various technical teams and effectively influences the team’s architectural decisions.
• Impact/Strategy: Leads high-impact projects that significantly shape the organization’s data infrastructure. Develops long-term strategies for data architecture and contributes significantly to data governance initiatives.
• Complexity / (Product Size): Manages enterprise-level data systems and infrastructure. Designs and implements advanced data processing frameworks, scalable data warehouses, and data lakes.
• Business / Technical ability: Acts as an expert in multiple programming languages and Big Data technologies. Demonstrates a deep understanding of distributed systems, cloud data platforms, advanced ETL/ELT patterns, and data architecture best practices.

• Extensive experience leading the design, implementation, and construction of complex data engineering solutions and large-scale data architectures
• Proven track record of leading high-impact projects that shape enterprise-level data infrastructure and developing long-term data architecture strategies.
• Demonstrated experience contributing significantly to data governance and ensuring the resilience and security of critical data infrastructure.

Technical Skills

• Expert proficiency in multiple programming languages and Big Data technologies.
• Deep expertise in distributed data systems, cloud data platforms, and advanced ETL/ELT patterns.
• Proven capability to architect scalable data warehouses and data lakes, and to troubleshoot intricate system performance issues.

Additional Qualifications

• AWS Expertise
• DB Expertise
• Scrum Master expertise would be beneficial

• Participation in interesting and demanding projects.
• Flexible working hours.
• A great, non-corporate atmosphere.
• Possibility to work remote or hybrid (2 days per week from the office).
• Opportunities for development and promotion.
• Attractive package of benefits.