Databricks Platform Architect

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

Cloud Integration

• Architect Databricks solutions on AWS / Azure / GCP
• Integrate with cloud-native services (AWS S3/Glue, Azure ADLS/ADF, etc.)

• Advanced proficiency in SQL and Python
• Hands-on experience with Delta Lake, Medallion Architecture, and Unity Catalog
• Strong experience with at least one cloud platform (AWS / Azure / GCP)
• Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions)
• Knowledge of workflow orchestration tools (Airflow or equivalent)

Good to Have

• Databricks certifications (Associate / Professional)
• Experience with Databricks SQL & dashboards
• Exposure to ML pipelines (MLflow)
• Experience with Kafka or event-driven architectures
• Domain experience in Finance / Retail / Healthcare

What Makes You a Great Fit

• Strong architectural mindset with ability to design scalable data platforms
• Deep understanding of performance tuning and cost optimization
• Ability to balance technical depth with business impact
• Excellent communication and stakeholder management skills