Senior Databricks Solution Architect at Unison Group – Singapore | Jobyssey

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.

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Key Responsibilities

Skills & Experience

Preferred Skills

Key Competencies