Cloud Data Architect

• Position: Cloud Data Architect

• Location: Kraków, Poland

• Working mode: Initially remote; once the Kraków office is ready, 3-4 days per week onsite

About our client

Our client is an Israeli sports-tech company combining advanced data engineering, AI/ML and mathematical modelling to build high-performance real-time sports analytics solutions. The company processes large volumes of real-time data across sports including football, basketball, baseball and American football, turning it into predictions and actionable insights. Its solutions are designed for sports organizations, leagues, broadcasters and other data-driven businesses. The company is now building its new R&D team in Kraków, creating the opportunity to join the organization at an early stage and have a direct impact on its technology and infrastructure.

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 the company’s leadership and technical teams.

• Competitive compensation and equipment necessary to perform the role.

• The opportunity to work on complex cloud, data engineering and distributed systems challenges with a strong focus on scalability and performance.