Senior Databricks Solution Architect

Unison Group; Romanina; In loco; EUR 120.000 - 150.000; Tempo pieno

Descrizione del lavoro

Unison Group is seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform. The role focuses on architecture, security, and scalable data pipelines across cloud environments.

Ideal candidates will have deep expertise in Databricks, Apache Spark, Delta Lake, and data governance, with a track record of delivering enterprise-grade data solutions.

Competenze

• Strong experience in data engineering, big data, or solution architecture.
• Deep expertise in Databricks architecture, Apache Spark, Delta Lake, data engineering, cloud platforms, and enterprise data solutions.

Mansioni

• 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 Bronze/Silver/Gold, data quality, and schema evolution.
• 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, and 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.

Conoscenze

Databricks Platform

Apache Spark

PySpark

Scala

Delta Lake

SQL

Data Lakehouse architecture

ETL/ELT development

Databricks Workflows

Jobs orchestration

Notebooks

Repos

Cluster management

Unity Catalog

Databricks Certified DataEngineer/Cert

Strumenti

Databricks Platform tooling

Azure Databricks

AWS Databricks

Google Cloud Databricks

Descrizione del lavoro

We are seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using theDatabricks 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 architectDatabricks Lakehouse solutionsfor 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 pipelinesusingDatabricks, 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 withDatabricks 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.