Senior Databricks Solution Architect
Pubblicato il 25-10-2026 - Unison Group in Romanina
We are seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform . The ideal candidate will have deep expertise in Databricks architecture, Apache Spark, Delta Lake, data engineering, cloud platforms, and enterprise data solutions.
Key Responsibilities
- Design and architect Databricks Lakehouse solutions for large-scale enterprise data platforms.
- Lead end-to-end Databricks implementation, including architecture, development, deployment, and optimization.
- Define Databricks workspace architecture, cluster strategies, security models, and operational standards.
- Design and develop scalable data pipelines using Databricks, Apache Spark, PySpark, SQL, and Delta Lake .
- Implement data ingestion frameworks supporting batch and real-time data processing.
- Design Delta Lake architectures including:
- Delta tables
- Medallion architecture (Bronze/Silver/Gold layers)
- Data quality frameworks
- Schema evolution and optimization
- Perform Databricks performance tuning:
- Cluster optimization
- Spark job optimization
- Query tuning
- Cost optimization
- Implement Databricks governance and security using:
- Unity Catalog
- Access controls
- Data lineage
- Audit capabilities
- Lead migration projects from legacy data platforms to Databricks Lakehouse.
- Define best practices for Databricks CI/CD, DevOps, and environment management.
- Collaborate with data engineers,
data scientists, analysts, and enterprise architects.
- Provide technical guidance, architecture documentation, and design reviews.
Skills & Experience
- Strong experience in data engineering, big data, or solution architecture.
- Strong hands-on experience with Databricks Platform .
- Expert knowledge of:
- Apache Spark
- PySpark / Scala
- Delta Lake
- SQL
- Data Lakehouse architecture
- ETL/ELT development
- Experience designing and delivering enterprise Databricks solutions.
- Strong experience with cloud platforms:
- Azure Databricks (preferred)
- AWS Databricks
- Google Cloud Databricks
- Experience with:
- Databricks Workflows
- Jobs orchestration
- Notebooks
- Repos
- Cluster management
- Unity Catalog
Preferred Skills
- Databricks Certified Data Engineer Professional / Databricks Certified Architect.
- Experience with:
- MLflow
- Databricks Machine Learning
- Feature Store
- Model deployment
- MLOps
- Knowledge of streaming technologies:
- Structured Streaming
- Kafka
- Experience with data governance, compliance, and enterprise security frameworks.
Key Competencies
- Strong Databricks architecture and implementation expertise.
- Ability to design scalable and cost-efficient Lakehouse solutions.
- Strong troubleshooting and performance optimization skills.
- Ability to lead technical discussions with enterprise stakeholders.