Senior Databricks Solution Architect at UNISON Group

UNISON Group; Romanina; In loco; EUR 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

UNISON Group is seeking a Senior Databricks Solution Architect to design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform. You will lead architecture, development, deployment, and optimization across multiple clouds and teams.

The role focuses on Databricks architecture, Apache Spark, Delta Lake, data engineering, and governance to ensure scalable, secure, and cost-efficient data solutions for complex enterprise environments.

Competenze

• Strong hands-on Databricks expertise and architecture experience.
• Experience designing enterprise Databricks Lakehouse 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 workspace architecture, cluster strategies, security models, and operational standards.
• Develop scalable data pipelines using Databricks, Spark, PySpark, SQL, and Delta Lake.
• Implement data ingestion frameworks for batch and real-time processing.
• Lead migration projects to Databricks Lakehouse and establish CI/CD practices.

Conoscenze

Databricks Platform

Apache Spark

PySpark

Scala

Delta Lake

SQL

Lakehouse architecture

ETL/ELT development

Data engineering

Cloud platforms

Strumenti

Azure Databricks

AWS Databricks

Google Cloud Databricks

Unity Catalog

Databricks Workflows

Notebooks

Descrizione del lavoro

Senior Databricks Solution Architect

UNISON Group in Romanina, LAZ, IT.

This Full time on site position offers great opportunities for career growth.

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
  • + 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.