Data Platform Architect (Snowflake) @ Xebia sp. z o.o.

Your profile: Technical skills: deep, hands-on experience with Snowflake as a core enterprise data platform, proven track record of delivering large-scale data platforms, not just designing them, strong understanding of modern enterprise data platform architectures, practical experience with data ingestion, transformation, and modeling patterns, hands-on experience with dbt or equivalent transformation frameworks, solid understanding of cloud platforms (even if Snowflake is the core layer), strong understanding of data governance, data quality, and data security principles, ability to work in a fast-paced environment, excellent communication skills, ability to collaborate with cross-functional teams, experience working with distributed teams, experience working with Agile methodologies, experience with version control systems like Git, experience with CI/CD pipelines, experience with cloud-based development environments, experience with containerization (e.g., Docker), experience with orchestration tools (e.g., Kubernetes), experience with data warehousing and business intelligence platforms, ability to work in a global organization, ability to adapt to changing priorities, strong problem-solving skills, ability to prioritize tasks effectively, excellent analytical skills, ability to communicate complex technical information to non-technical stakeholders, ability to lead by example, ability to mentor junior team members, experience with data visualization tools (e.g., Tableau), experience with ETL tools (e.g., Informatica PowerCenter), experience with data modeling and design patterns, experience with data governance frameworks (e.g., GDPR), experience with cloud-based data platforms (e.g., AWS Lake Formation), experience with big data technologies (e.g., Hadoop), experience with NoSQL databases (e.g., MongoDB), experience with relational databases (e.g., PostgreSQL), experience with data science and machine learning tools (e.g., Python, R, TensorFlow), experience with data engineering and architecture design, ability to work in a fast-paced environment, excellent communication skills, ability to collaborate with cross-functional teams, experience working with distributed teams, experience working with Agile methodologies, experience with version control systems like Git, experience with CI/CD pipelines, experience with cloud-based development environments, experience with containerization (e.g., Docker), experience with orchestration tools (e.g., Kubernetes), str…