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-scaleenterprise data platforms.
- Lead end-to-end Databricks implementation, including architecture, development, deployment, and optimization.
- Define Databricks workspace architecture, clusterstrategies, security models, and operational standards.
- Design and developscalable data pipelinesusing Databricks, Apache Spark, PySpark, SQL, andDelta Lake .
- Implement data ingestionframeworks supporting batchand real-timedata processing.
- Design Delta Lake architectures including:
- Delta tables
- Medallion architecture (Bronze/Silver/Gold layers)
- Data quality frameworks
- Schema evolution andoptimization

- Perform Databricks performancetuning:

- Cluster optimization
- Spark job optimization
- Query tuning
- Cost optimization

- Implement Databricks governanceand security using:

- Unity Catalog
- Access controls
- Data lineage
- Audit capabilities

- Lead migration projectsfrom legacy dataplatforms to DatabricksLakehouse.
- Define best practicesfor Databricks CI/CD, DevOps, andenvironment management.
- Collaborate with dataengineers,



data scientists, analysts, and enterprisearchitects.
- Provide technical guidance, architecture documentation, and design reviews.

Skills & Experience

- Strong experience in dataengineering, big data, or solution architecture.
- Strong hands-onexperience with Databricks Platform .
- Expert knowledge of:
- Apache Spark
- PySpark / Scala
- Delta Lake
- SQL
- Data Lakehouse architecture
- ETL/ELT development

- Experience designing anddelivering enterprise Databrickssolutions.
- Strong experience withcloud 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 DataEngineer Professional /Databricks Certified Architect.
- Experience with:
- MLflow
- Databricks Machine Learning
- Feature Store
- Model deployment
- MLOps

- Knowledge of streamingtechnologies:

- Structured Streaming
- Kafka

- Experience with datagovernance, compliance,and enterprise securityframeworks.

Key Competencies

- Strong Databricks architectureand implementation expertise.
- Ability to designscalableand cost-efficientLakehouse solutions.
- Strong troubleshooting andperformance optimizationskills.
- Ability to leadtechnical discussions withenterprise stakeholders.

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📌 Senior Databricks Solution Architect (Lazio)
🏢 Unison Group
📍 Lazio