Senior Databricks Architect / Data Engineering Expert

About the RoleWe’re looking for a Senior Databricks Architect / Data Engineering Expert to lead the design and implementation of scalable, high-performance data architectures. You’ll define the Databricks platform blueprint, optimize compute and storage layers, and ensure enterprise-grade performance, security, and cost efficiency. This role focuses on architectural design, platform governance, and advanced Databricks optimization to support analytics, AI, and data product development across the organization.Location: Warsaw, PolandWork type: Hybrid Key Responsibilities

• Define and implement the overall Databricks Lakehouse architecture, including Delta Lake design, security models, and data governance standards.

• Architect and oversee the development of large-scale, reusable data pipelines serving as the foundation for analytics, AI, and BI platforms.

• Design and implement advanced optimization strategies (e.g., cluster sizing, job parallelization, Delta optimization, caching, partitioning).

• Lead the integration of real-time and batch data streams using Databricks, Delta Live Tables, and Azure data services.

• Establish and enforce data governance, lineage, and observability frameworks across the Databricks ecosystem.

• Collaborate with cloud, AI/ML, and BI teams to align platform strategy with data product needs.

• Provide technical leadership, architecture reviews, and best practices for Databricks usage across teams.

• Drive cost and performance tuning initiatives to ensure efficient compute resource utilization and scalability.

Required Skills & Qualifications

• Deep architectural expertise in Databricks and the Lakehouse paradigm (clusters, jobs, Delta Lake, Unity Catalog, governance).

• Expert-level proficiency in PySpark, SQL, and Python for large-scale distributed data processing and pipeline design.

• Proven ability to design and optimize complex batch and streaming architectures (Lambda, Kappa patterns).

• Solid understanding of Azure Data Services (Data Lake, Data Factory, Event Hubs) and orchestration frameworks (e.g., Airflow).

• Demonstrated success in Databricks platform tuning, performance audits, and cost optimization.

• Experience integrating Databricks with machine learning and BI ecosystems (Power BI, MLflow).

• Strong communication and leadership skills to influence data strategy and cross-functional architecture decisions.

Nice-to-Have

• Experience implementing Unity Catalog, advanced lineage, and access control frameworks.

• Hands-on experience with CI/CD for Databricks assets (GitHub Actions, Azure DevOps).

• Broad knowledge of data governance and metadata management (Purview, Collibra, etc.).

• Understanding of enterprise-level data architecture standards and cross-platform data interoperability.

What We Offer

• A chance to shape the data foundation of an evolving analytics landscape.

• Hands-on experience with modern data technologies and streaming architectures.

• A collaborative and forward-thinking environment that values innovation and technical excellence.

Reasons to Join Our Team:

• Tangible impact on the company you work for.

• Collaboration with professionals from the IT and Supply Chain industry in a fun environment.

• Exposure to cutting-edge technologies and business frameworks.

• “We Get Things Done”– we value work in an agile high-growth company. This can be achieved with the right balance of planning and pragmatism