Databricks Certified Professional

We are seeking a Databricks Certified Professional with strong hands-on experience in building and delivering enterprise-grade data solutions using the Databricks Lakehouse Platform on AWS, Azure, or Google Cloud Platform.

The ideal candidate must possess an active Databricks Professional Certification and demonstrate deep expertise in Spark-based distributed processing, Delta Lake implementation, Lakehouse architecture, and performance optimization within Databricks environments.

This role requires ownership of end-to-end data engineering solutions, from architecture design through production deployment, governance, and optimization.

Key Responsibilities

• Design and implement scalable Lakehouse architectures using Databricks best practices.

• Develop batch and streaming data pipelines using Delta Live Tables (DLT), Autoloader, Structured Streaming, and Databricks Workflows.

• Build and manage optimized Delta Lake tables with partitioning, Z-ordering, and performance tuning techniques.

• Implement advanced Spark optimizations, cluster tuning, and workload management within Databricks.

• Develop metadata-driven ingestion frameworks and incremental data processing using PySpark.

• Apply enterprise data modeling techniques (3NF, dimensional modeling) within Lakehouse environments.

• Enforce governance, lineage, and security controls using Unity Catalog and fine-grained access management.

• Deploy solutions using CI/CD pipelines aligned with Databricks deployment standards.

• Monitor, troubleshoot, and optimize jobs for cost efficiency and high performance.

• Provide technical leadership and guidance aligned with Databricks architectural principles.