Senior Databricks Solutions Architect: AI & Cloud Data

Capgemini Engineering; Katowice; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Yearly financial bonus

Private medical care with Medicover

Life insurance

Training tracks on NEXT platform

Job summary

Capgemini Engineering seeks an experienced Resident Solutions Architect to design, implement, and support scalable data, analytics, and AI solutions using Databricks and modern cloud platforms. Lead architecture and delivery of commercial use cases, ensuring production readiness, security, governance, and scalable platforms.

You will guide delivery teams on cloud, DevOps, MLOps, and best practices, with emphasis on planning and field-execution solutions, while maintaining high standards and

Qualifications

• 10+ years of consulting experience, including 7+ years in Data Engineering and Analytics.
• 6+ Databricks projects delivered with hands-on development experience.
• Databricks Data Engineering Professional certification.
• Strong expertise in Databricks, Apache Spark, and Python.
• Experience with AWS, Azure, or GCP (deep expertise in at least one).
• Performance and scalability optimization.
• CI/CD and MLOps knowledge, DevOps tools and practices.

Responsibilities

• Design scalable Databricks-based data and analytics solutions.
• Provide architecture guidance and hands-on technical leadership.
• Support production deployments, performance optimization, and platform scalability.
• Advise delivery teams on cloud, DevOps, MLOps, security, and governance best practices.

Skills

Python

Apache Spark

Databricks

Cloud platforms

CI/CD

MLOps

Education

Databricks Data Engineering Professional certification

Tools

Databricks

AWS/Azure/GCP

CI/CD tools

Job description

Capgemini Engineering seeks an experienced Resident Solutions Architect to design, implement, and support scalable data, analytics, and AI solutions using Databricks and modern cloud platforms. Lead architecture and delivery of commercial use cases, ensuring production readiness, security, governance, and scalable platforms.

You will guide delivery teams on cloud, DevOps, MLOps, and best practices, with emphasis on planning and field-execution solutions, while maintaining high standards and