Must have

• SQL

• Python

• Big data

• Hadoop

• Cloud

• Databases

• Airflow

• Docker

• Kubernetes

• NoSQL

• Polish (C1)

• English (C1)

Nice to have

• AI

• Machine learning

Requirements description

• Minimum 6 years of professional experience in the Big Data domain, with a strong focus on designing and implementing large-scale solutions
• Advanced knowledge of Big Data technologies (eg., Hadoop, Apache Spark, Kafka, Flink, Hive, HBase)
• Proficiency in programming with Python or Java
• Familiarity with NoSQL databases (e.g., Cassandra, MongoDB) and relational databases
• Experience working with cloud platforms (AWS, Azure, Google Cloud) and containerization/orchestration tools (Docker, Kubernetes)
• Knowledge of data workflow orchestration tools (e.g., Apache Airflow, NiFi)
• Strong analytical skills and the ability to solve complex technical problems
• Experience in team leadership or mentoring junior team members
• Ability to create technical documentation and effectively communicate with both technical and business stakeholders
• Fluent English (C1 level)

Offer description

We are looking for an experienced Big Data Architect who will play a key role in the design, development, and oversight of data platforms. We seek someone who can combine a strategic approach to data architecture with hands-on expertise in technologies and tools—and who understands how these technologies support business decision-making.

The ideal candidate should also have experience in pre-sales activities, including preparing cost estimates and collaborating with the sales team.

Your responsibilities

1. Design, develop, and implement advanced Big Data architecture, including integration of AI and machine learning solutions
2. Analyze business and technical requirements and translate them into scalable and efficient data processing solutions
3. Select and integrate appropriate tools and technologies to support data processing and AI algorithms
4. Optimize data pipelines for performance and reliability
5. Monitor and maintain Big Data and AI infrastructure, ensuring high availability, scalability, and security
6. Provide mentoring and technical support for junior team members

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