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-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 pipelinesusing Databricks, 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 with Databricks 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 (preferre

Senior Databricks Solution Architect

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