Hybrid Databricks & AI Solutions Architect

Capgemini Engineering

Kraków

Hybrid

PLN 260,000 - 480,000

Full time

13 hours ago
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Benefits offered by this job

Yearly financial bonus
Private medical care (Medicover) with/
Life insurance
Training tracks on NEXT platform
Hybrid work model

Job summary

Capgemini Engineering is seeking a Senior Resident Solutions Architect in Kraków to design and implement scalable data, analytics, and AI solutions using Databricks on cloud platforms. You will lead architecture and delivery of commercial use cases, focusing on planning, pre-call analytics, and field-execution solutions, ensuring security, governance, and production readiness.

The role requires 10+ years in consulting with 7+ years in data engineering, hands-on Databricks, and cloud expertise

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.

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

Databricks
Python
Apache Spark
Cloud platforms
MLOps
CI/CD

Tools

Databricks Data Engineering Professional certification

Job description

Capgemini Engineering is seeking a Senior Resident Solutions Architect in Kraków to design and implement scalable data, analytics, and AI solutions using Databricks on cloud platforms. You will lead architecture and delivery of commercial use cases, focusing on planning, pre-call analytics, and field-execution solutions, ensuring security, governance, and production readiness.

The role requires 10+ years in consulting with 7+ years in data engineering, hands-on Databricks, and cloud expertise

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