We are seeking a highly skilled Databricks Architect to lead the design and implementation of next-generation data platforms built on the Lakehouse paradigm.
This role goes beyond pipeline development—you will own the Databricks platform architecture end-to-end, driving scalability, governance, performance, and cost optimization across enterprise data ecosystems.

Databricks Platform Architecture
Architect and implement enterprise-scale Databricks environments (dev/test/prod)
Define workspace strategy, cluster policies, and job orchestration frameworks
Design secure, scalable Lakehouse architecture using Delta Lake
Data Engineering & Processing
Build and optimize high-performance data pipelines using Apache Spark (PySpark / Scala)
Implement Medallion Architecture (Bronze, Silver, Gold)
Develop batch and real-time streaming pipelines using Structured Streaming
Governance, Security & Compliance
Implement fine-grained access control using Unity Catalog
Define enterprise-wide data governance, lineage, and auditing frameworks
Ensure compliance with security and regulatory standards
Performance & Cost Optimization
Optimize workloads using partitioning, caching, and Photon engine
Design cost-efficient cluster strategies (autoscaling, spot instances, DBU optimization)
Monitor and improve query and pipeline performance at scale
DevOps & Automation
Implement CI/CD pipelines for Databricks using Azure DevOps, Jenkins, or GitHub Actions
Enable Infrastructure as Code using Terraform or equivalent
Standardize reusable frameworks and engineering best practices

Data Architect

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