Makonis · 11 hours ago
Databricks Architect/Lead ( C2C Contract)
Makonis is seeking a Databricks Architect to design and lead modern Lakehouse data platforms using Databricks. The role focuses on building scalable, high-performance data pipelines and enabling analytics and AI use cases on cloud-native data platforms.
Responsibilities
Architect and implement Databricks Lakehouse solutions for large-scale data platforms
Design and optimize batch & streaming data pipelines using Apache Spark (PySpark/SQL)
Implement Delta Lake best practices (ACID, schema enforcement, time travel, performance tuning)
Build and manage Databricks jobs, workflows, notebooks, and clusters
Enable data governance using Unity Catalog (access control, lineage)
Integrate Databricks with cloud data services (ADLS / S3, ADF, Synapse, etc.)
Support analytics, BI, and AI/ML workloads (MLflow exposure is a plus)
Lead solution design discussions and mentor data engineering teams
Qualification
Required
15+ years of experience
Only Green Card and Citizens are eligible (No H1B. H4 accepted)
Architect and implement Databricks Lakehouse solutions for large-scale data platforms
Design and optimize batch & streaming data pipelines using Apache Spark (PySpark/SQL)
Implement Delta Lake best practices (ACID, schema enforcement, time travel, performance tuning)
Build and manage Databricks jobs, workflows, notebooks, and clusters
Enable data governance using Unity Catalog (access control, lineage)
Integrate Databricks with cloud data services (ADLS / S3, ADF, Synapse, etc.)
Support analytics, BI, and AI/ML workloads (MLflow exposure is a plus)
Lead solution design discussions and mentor data engineering teams
10+ years in data engineering / data architecture
5+ years of strong hands-on experience with Databricks
Expert in Apache Spark, PySpark, SQL
Strong experience with Delta Lake & Lakehouse architecture
Cloud experience on Azure Databricks / AWS Databricks
Proven experience in designing high-volume, scalable data pipelines
Preferred
Unity Catalog, MLflow, Databricks Workflows
Streaming experience (Kafka / Event Hubs)
CI/CD for Databricks (Azure DevOps / GitHub)