Lead Databricks Solution & Platform Architect

Moondigo Sp. z o.o. is involved in a long-term Life Sciences industry project focused on creating a modern data platform based on Databricks and AWS.

• Strong practical experience in designing architecture and managing the Databricks platform.
• Experience designing and implementing data platforms in AWS cloud.
• In-depth knowledge of Unity Catalog, data access, and security management.
• Familiarity with IAM, network architecture, cluster policies, and governance mechanisms.
• Hands-on experience with Terraform and Infrastructure as Code.
• Experience designing and implementing DevOps and CI/CD processes.
• Knowledge of data engineering frameworks and architectural patterns for scalable data processing.
• Ability to combine platform architecture design with data solution design.
• Experience making architectural decisions, conducting technical reviews, and establishing standards for teams.
• Ability to collaborate effectively with diverse technical and business areas.

Nice to have:

• Experience in Life Sciences, pharmaceutical, or healthcare industries.
• Knowledge of GxP regulatory requirements and preparing platforms for regulated environments.
• Experience with qualification and validation of platforms or data processing in highly regulated environments.
• Experience optimizing cost, performance, and reliability of cloud data platforms.

• Designing architecture for data platforms and solutions based on Databricks in the AWS cloud environment.
• Defining workspace strategies and separation of DEV/TEST/PROD environments.
• Designing network architecture, security mechanisms, and access control policies.
• Configuring and developing data governance, permissions, and sharing using Unity Catalog.
• Implementing Infrastructure as Code using Terraform.
• Defining CI/CD processes and standards for deployment and change management.
• Setting up monitoring, observability, cost control, and operational mechanisms for the platform.
• Designing scalable data ingestion, processing, and transformation patterns leveraging Databricks capabilities.
• Ensuring platform readiness for production deployments, including support for regulated environment qualification such as GxP.
• Conducting architectural reviews and making key technology decisions.
• Maintaining architectural consistency and technical standards across project teams.
• Collaborating with cloud, security, infrastructure, data engineering teams, and business stakeholders.