Cloud Data Architect

Quick Facts

• Role: Cloud Data Architect

• Location: Kraków, Poland (initially remote; later hybrid 3–4 days onsite)

Description

As a Cloud Data Architect, you will take ownership of cloud infrastructure, real-time data processing, and the architecture required for a highly concurrent platform handling millions of users and hundreds of thousands of commands per minute. You will design scalable, low-latency, and highly available systems at the intersection of cloud engineering and data architecture. The role includes performance optimization and contributing to the platform’s long-term evolution, including scalability, cost optimization, observability, and disaster recovery.

Responsibilities

• Design, deploy, and maintain scalable cloud environments using Infrastructure as Code

• Build and operate real-time, event-driven data pipelines for high throughput, fault tolerance, and low latency

• Design and optimize data storage and data lake solutions for transactional and analytical workloads

• Develop highly available networking, API gateways, automated failover mechanisms, and zero-downtime routing

• Integrate data validation, monitoring, and observability into the data pipeline lifecycle

• Identify and resolve performance bottlenecks and data quality/data drift issues

• Drive cloud scalability, cost optimization, disaster recovery, and system benchmarking

• Collaborate with engineering and data teams to translate requirements into scalable architecture

Requirements

• 5+ years of experience in Cloud Infrastructure, Data Engineering, or Distributed Systems Architecture

• Strong experience provisioning infrastructure with Terraform

• Hands-on experience with Docker and Kubernetes

• Experience with AWS (GCP experience is relevant)

• Strong knowledge of distributed, event-driven data architectures, especially Apache Kafka and Change Data Capture (CDC)

• Experience with object storage (S3), data lakes, and relational and NoSQL/document databases

• Strong programming and scripting skills in Python and Bash (Java or Kotlin is a plus)

• Experience designing and optimizing ETL/data pipelines for high-volume data processing

• Ability to combine high-level architecture with hands-on performance tuning and implementation

• Strong English communication skills (C1); Polish not required

• Background in fintech, iGaming, or other high-throughput platforms is a nice-to-have

Benefits

• Join a new Kraków R&D organization and influence its technical foundations from the beginning

• Primarily employment contract (UoP), with B2B as an option later

• Initially fully remote; then hybrid (3–4 days per week onsite) once the Kraków office is ready

• 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 necessary equipment

• Complex cloud, data engineering, and distributed systems challenges focused on scalability and performance