We are looking for a skilled and passionate Databricks Engineer to design, build, and optimize enterprise-scale data lakehouse solutions on the Databricks platform. The successful candidate will be responsible for creating Databricks pipeline delivering Financial Crime platforms covering Anti-Money Laundering (AML), Know Your Customer (KYC), Customer Risk Assessment (CRA), Sanctions Screening, Transaction Monitoring, Fraud Detection, and Regulatory Reporting Databricks Platform Engineering • Design, build, and maintain Databricks workspaces, clusters, and compute pools across dev/test/prod environments. • Configure and manage Databricks Unity Catalog for data governance, access control, fine-grained permissions, and data lineage. • Optimize cluster configurations — instance types, auto-scaling policies, spot/preemptible nodes — for cost and performance. • Implement workspace-level best practices: folder structures, access controls, secret management (Databricks Secrets / Azure Key Vault / AWS Secrets Manager). • Manage Databricks jobs, workflows, and multi-task job orchestration with dependency management. Delta Lake & Lakehouse Architecture • Design and implement Delta Lake tables with appropriate partitioning, Z-ordering, and file compaction (OPTIMIZE / VACUUM). • Build Medallion Architecture (Bronze / Silver / Gold) layers for structured data lake organization. • Implement Delta Live Tables (DLT) pipelines for declarative, reliable ETL/ELT with built-in data quality expectations. • Manage schema evolution, table versioning, time travel, and Change Data Feed (CDF) for incremental processing. • Design data lakehouse patterns integrating Delta Lake with external systems (Kafka, ADLS, S3, GCS). Education • Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related field. Experience • 8+ years of total experience in data engineering or software engineering. • 3+ years of dedicated hands-on experience with the Databricks platform in production environments. • Strong background in big data engineering, cloud data platforms, and distributed computing. Databricks Platform • Deep expertise in Databricks Workspaces, Clusters, Jobs, Workflows, and Repos. • Proficiency with Unity Catalog — metastore setup, catalog/schema/table management, access controls, and data lineage. • Hands-on experience with Delta Live Tables (DLT) — pipeline development, expectations, and monitoring. • Strong command of Delta Lake internals — transaction log, ACID guarantees, file layout, and optimization techniques. • Experience with Databricks SQL Warehouses, SQL Analytics, and dashboard creation. • Knowledge of Databricks Photon engine, serverless compute, and cost optimization strategies.