Lead Databricks Solutions & Platform Architect

Quick Facts

• Role: Lead Databricks Solutions & Platform Architect

Description

Design and build a modern, production-ready data platform based on Databricks on AWS. You will be responsible for both data solution architecture and the platform foundations—cloud infrastructure, security, data management/governance with Unity Catalog, and CI/CD. The goal is a scalable, secure environment aligned with organizational requirements.

Responsibilities

• Design the data platform architecture and Databricks-based solutions on AWS

• Define workspace strategy and environment separation (DEV/TEST/PROD)

• Design network architecture, security mechanisms, and access control

• Configure and develop data management using Unity Catalog (governance standards, permissions, data sharing)

• Build and evolve Infrastructure as Code using Terraform

• Define CI/CD processes and standards for deployments and change management

• Configure monitoring/observability, cost control, and operational mechanisms

• Design scalable patterns for data ingestion, processing, and transformation using Databricks capabilities

• Ensure readiness for production deployments, including support for qualification in regulated contexts (e.g., GxP)

• Lead architectural reviews, make key technology decisions, and ensure architectural consistency across teams

• Collaborate with cloud, security, infrastructure, data engineering teams, and business stakeholders

Requirements

• Very strong practical experience in designing the architecture and administering a Databricks platform

• Experience designing and implementing data platforms in AWS cloud environments

• In-depth knowledge of Unity Catalog, including data access and data security

• Knowledge of IAM, network architecture, cluster policies, and governance mechanisms

• Hands-on experience with Terraform and Infrastructure as Code

• Experience designing and implementing DevOps processes and CI/CD

• Knowledge of data engineering frameworks and architectural patterns enabling scalable data processing

• Ability to connect platform architecture design with data solution design

• Experience in making architectural decisions, leading technical reviews, and setting standards for teams

• Ability to work with multiple technical and business areas

Benefits

• Long-term project in the Life Sciences industry

• Initially ~2–3 months on-site at the client in Warsaw; afterwards hybrid model with at least 3 office days per week

• Employment via B2B contract

• Private medical care (LuxMed) and MultiSport sports card