Databricks Architect (Data Engineering)

SpyroSoft S.A.

• 7+ years of experience in Data Engineering
• 3+ years of hands-on experience with Databricks
• Strong expertise in Apache Spark (PySpark and/or Spark SQL)
• Excellent knowledge of Delta Lake and Lakehouse Architecture
• Experience designing enterprise-scale data platforms
• Strong understanding of Medallion Architecture
• Experience with Unity Catalog and data governance
• Experience with cloud platforms (Azure, AWS, or GCP)
• Knowledge of orchestration tools (Azure Data Factory, Airflow, Databricks Workflows or similar)
• Experience with CI/CD pipelines and Git-based development
• Strong SQL and Python skills
• Excellent communication and stakeholder management skills
• Fluent English

Nice to have:

• Databricks certifications
• Experience with dbt
• Experience with Kafka or other streaming technologies
• Terraform or other Infrastructure as Code tools
• Experience designing AI/ML-ready data platforms

• Design end-to-end Data Lakehouse architectures based on Databricks
• Define data platform architecture, integration patterns, and governance standards
• Lead architecture decisions around ETL/ELT, batch, and streaming data processing
• Design scalable solutions using Delta Lake, Unity Catalog, and Medallion Architecture
• Collaborate with Data Engineers, Data Scientists, Architects, and business stakeholders
• Define security, data governance, and access management strategies
• Optimize platform performance and cloud costs
• Support CI/CD implementation and Infrastructure as Code practices
• Review solution designs and mentor engineering teams
• Drive adoption of modern Data Engineering best practices