Cloud Data Architect

About the Role

As a Cloud Data Architect, you will take ownership of cloud infrastructure, real-time data processing, and the architecture required to support a high-concurrency platform handling millions of users and hundreds of thousands of commands per minute. You will work at the intersection of cloud engineering and data architecture, designing scalable, low-latency, and highly available systems. The role combines hands-on technical work with architectural decision-making, performance optimization, and collaboration across teams.

You will also contribute to the long-term evolution of the platform, including scalability, cost optimization, observability, and disaster recovery.

Key Responsibilities

• Design, deploy, and maintain scalable cloud environments using Infrastructure as Code.
• Build and operate real-time, event-driven data pipelines designed for high throughput, fault tolerance, and low latency.
• Design and optimize data storage and data lake solutions supporting both transactional and analytical workloads.
• Develop highly available networking, API gateways, automated failover mechanisms, and zero-downtime routing strategies.
• Integrate data validation, monitoring, and observability into the data pipeline lifecycle.
• Identify and resolve performance bottlenecks and data quality or data drift issues.
• Drive long-term cloud scalability, cost optimization, disaster recovery, and system benchmarking.
• Work closely with engineering and data teams to translate business and technical requirements into scalable architecture.

What We’re Looking For

• 5+ years of experience in Cloud Infrastructure, Data Engineering, or Distributed Systems Architecture.
• Strong experience designing and provisioning infrastructure with Terraform.
• Hands-on experience with Docker and Kubernetes.
• Experience with cloud platforms, particularly AWS; GCP experience is also relevant.
• Strong knowledge of distributed, event-driven data architectures, particularly Apache Kafka and Change Data Capture (CDC).
• Experience with object storage such as S3, data lakes, and relational and NoSQL/document databases.
• Strong programming and scripting skills in Python and Bash; experience with Java or Kotlin is a plus.
• Experience designing and optimizing ETL/data pipelines and working with high-volume data processing.
• Ability to combine high-level architecture with hands-on performance tuning and implementation.
• Strong English communication skills (C1); Polish is not required.
• Background in fintech, iGaming, or other high-throughput platforms is a nice-to-have.

What We Offer

• Opportunity to join a new R&D organization in Kraków and influence its technical foundations from the beginning.
• Primarily employment based on an employment contract (UoP), with B2B cooperation also planned as an option later.
• Initially fully remote work, followed by a hybrid model with 3–4 days per week from the Kraków office once the office is ready.
• Opportunity to work on large-scale, real-time data infrastructure serving millions of users.
• International environment and direct collaboration with leadership and technical teams.
• Competitive compensation and equipment necessary to perform the role.
• Opportunity to work on complex cloud, data engineering, and distributed systems challenges with a strong focus on scalability and performance.