Jobs → Data & Analytics → Databricks Architect

About the Role We are hiring for a contract role of Databricks Architect in Tarrytown, New York (onsite). This role involves evaluating and driving adoption of new Databricks capabilities, conducting architecture reviews, and providing technical governance across projects. Key Responsibilities • Lead enterprise-scale data platform modernization initiatives, driving migration from AWS EMR, Apache NiFi, and legacy ETL frameworks to the Databricks Lakehouse Platform. • Architect and implement scalable Lakehouse solutions using Databricks, Delta Lake, Unity Catalog, and Databricks Workflows. • Design and govern end-to-end data pipelines for batch, streaming, CDC, and real-time data integration workloads. • Drive large-scale data platform modernization and cloud transformation initiatives. • Architect scalable Medallion Architecture (Bronze, Silver, Gold) data platforms. • Lead migration of legacy EMR, NiFi, Redshift, and ETL workloads to Databricks. • Design high-performance batch and real-time data processing solutions. • Build robust ingestion frameworks using Auto Loader, Delta Lake, and Structured Streaming. • Define enterprise data governance and security standards using Unity Catalog. • Architect metadata-driven and reusable PySpark-based ETL/ELT frameworks. • Establish best practices for performance tuning, scalability, and cost optimization. • Design and implement data quality, lineage, and observability frameworks. • Drive adoption of CI/CD, DevOps, Infrastructure as Code, and automation practices. • Collaborate with business, analytics, and engineering teams to define target-state architectures. • Conduct architecture reviews and provide technical leadership across multiple projects. • Mentor architects and senior engineers on Databricks and AWS best practices. • Design secure and scalable solutions leveraging AWS services (S3, Glue, Athena, Lambda, IAM, Redshift). • Implement and govern enterprise-wide data access, compliance, and security controls. • Evaluate and adopt latest Databricks capabilities such as DLT, Lakehouse Federation, Serverless, and MLflow. • Enable AI/ML, Generative AI, and advanced analytics use cases on the Lakehouse platform. • Create architecture roadmaps, migration.