Job Description
- Responsibilities:
• Lead the architecture, design, and implementation of Databricks-based data platforms, pipelines, and AI/ML workloads.
• Define scalable lakehouse patterns using core Databricks capabilities such as Apache Spark, Delta Lake, Databricks SQL, MLflow, and governance components.
• Design robust batch and streaming data pipelines for high-volume, business-critical workloads.
• Establish architecture standards for performance optimization, workload orchestration, reliability, observability, and cost control.
• Translate business and technical requirements into solution blueprints, reference architectures, and implementation roadmaps.
• Collaborate with data engineers, analysts, data scientists, DevOps teams, and business stakeholders to deliver end-to-end solutions.
• Ensure strong data governance, security, and compliance practices across the Databricks environment.
• Support AI and ...