Databricks Engineer with Pharma

We need a Strong Databricks Engineer urgently for our Pharma customer. East Coast NJ Job Description- We are seeking a highly skilled Databricks Platform Engineer to join existing engineering team. This role is focused on designing, optimizing, and maintaining the Databricks platform and architecture, enabling development teams to efficiently build and deploy data solutions. The ideal candidate will act as a platform expert, ensuring scalability, reliability, governance, and performance of the Databricks ecosystem while supporting developers with best practices, tools, and frameworks. Key Responsibilities Platform Engineering & Architecture • Design, implement, and maintain Databricks platform architecture to support enterprise-scale data workloads • Establish best practices for workspace setup, cluster management, and job orchestration • Optimize platform performance, scalability, and cost efficiency • Define and enforce standards for data engineering and analytics workloads within Databricks Developer Enablement • Support development teams by providing guidance, documentation, and reusable frameworks • Enable developers with CI/CD pipelines, automation, and deployment standards • Troubleshoot and resolve platform-related issues impacting development teams • Provide technical mentorship and onboarding support to engineers using Databricks Governance, Security & Compliance • Implement and manage data governance, access controls, and security models (Unity Catalog, RBAC, etc.) • Ensure compliance with enterprise data policies and regulatory requirements • Monitor and audit platform usage, access patterns, and data lineage Integration & Ecosystem Management • Integrate Databricks with cloud platforms (AWS/Azure/GCP), data lakes, and enterprise systems • Manage connectivity with tools such as Power BI, APIs, data ingestion frameworks, and orchestration tools • Support ingestion and processing frameworks (e.g., batch, streaming, Delta Lake) Operational Excellence • Monitor platform health, performance, and usage metrics • Implement automation for provisioning, monitoring, and scaling • Drive continuous improvements in platform reliability and developer experience Required Qualifications • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) • 5+ years of experience in data engineering or platform engineering roles • 3+ years of hands-on experience with Databricks (architecture, administration, or platform engineering) • Strong understanding of distributed data processing (Spark) • Experience with cloud platforms (Azure preferred, or AWS/GCP) • Knowledge of data lake architecture, Delta Lake, and modern data platforms • Experience implementing security, governance, and access control frameworks Familiarity with CI/CD pipelines, DevOps practices, and infrastructure as code (Terraform, etc.)