Senior Databricks Solution Architect
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 ResponsibilitiesDesign 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 & ExperienceStrong 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 SkillsDatabricks 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 CompetenciesStrong Databricks architectureand implementation expertise.
Ability to designscalableand cost-efficientLakehouse solutions.
Strong troubleshooting andperformance optimizationskills.
xysqume
Ability to leadtechnical discussions withenterprise stakeholders.
#J-*****-Ljbffr
The ideal candidate will have deep expertise in Databricks architecture, Apache Spark, Delta Lake, data engineering, cloud platforms, and enterprise data solutions.
Key ResponsibilitiesDesign 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 & ExperienceStrong 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 SkillsDatabricks 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 CompetenciesStrong Databricks architectureand implementation expertise.
Ability to designscalableand cost-efficientLakehouse solutions.
Strong troubleshooting andperformance optimizationskills.
xysqume
Ability to leadtechnical discussions withenterprise stakeholders.
#J-*****-Ljbffr