ETL/ELT development
Model deployment
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
#J-*****-Ljbffr

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