Job description

About the project

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.

Our expectations

• 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)

Welcome Skills

• Experience and practical knowledge in integrating AI and machine learning solutions with Big Data platforms

• Experience working with AI and ML frameworks, e.g., TensorFlow, PyTorch, scikit-learn, Spark MLlib

• Experience in selling BI products and solutions

Key tasks

• Design, develop, and implement advanced Big Data architecture, including integration of AI and machine learning solutions

• Analyze business and technical requirements and translate them into scalable and efficient data processing solutions

• Select and integrate appropriate tools and technologies to support data processing and AI algorithms

• Optimize data pipelines for performance and reliability

• Monitor and maintain Big Data and AI infrastructure, ensuring high availability, scalability, and security

• Provide mentoring and technical support for junior team members

• Create technical documentation, presentations, and reports for business and technical stakeholders

• Actively participate in the strategic planning of the organization's data platform and AI solution development