AWS/Azure Databricks Architect
Why This Role Stands Out
You can elevate your career by architecting cutting-edge Databricks Lakehouse solutions across AWS and Azure, gaining invaluable experience in data architecture and platform engineering. This hybrid role is perfect for a skilled AWS/Azure Databricks Architect ready to lead impactful projects and drive innovation. Apply today to join a collaborative team and shape the future of data at SmartIT Frame.
Quick Overview
Job Description
Location Raritan NJ Omsite
Role Summary
We are looking for an experienced AWS Databricks Architect to design implement and optimize scalable Lakehouse solutions across AWS as well as Azure cloud platforms The ideal candidate will provide technical leadership in data architecture platform engineering data governance performance optimization and enterprisegrade Databricks implementations
Design and architect endtoend Databricks Lakehouse solutions across AWS and Azure environments
Define scalable data architecture patterns for ingestion transformation storage analytics and reporting workloads
Lead implementation of Delta Lake medallion architecture Databricks SQL Unity Catalog and workflow orchestration
Optimize Apache Spark jobs clusters notebooks pipelines and workloads for performance reliability and cost efficiency
Implement security access control secrets management data governance and compliance best practices across cloud platforms
Collaborate with data engineering BI data science DevOps and business teams to deliver highquality data solutions
Guide CICD infrastructureascode monitoring alerting and production deployment practices for Databricks workloads
Provide technical leadership architecture reviews troubleshooting support and mentoring to project teams
6 years of experience in data engineering data architecture or big data platform implementation in AWS cloud platform and knowledge in Azure platform as well
Strong handson experience with Databricks platform architecture workspace setup cluster configuration jobs notebooks and workflow orchestration
Expertise in AWS services such as S3 IAM VPC Glue Lambda CloudWatch and related data platform services
Expertise in Azure services such as ADLS Azure Data Factory Azure Synapse Key Vault Entra ID and Azure Monitor
Strong knowledge of Apache Spark PySpark SQL Delta Lake and Lakehouse architecture concepts
Experience with data security governance access controls Unity Catalog encryption and cloud networking concepts
Handson experience with performance tuning cost optimization debugging and production support of Databricks workloads
Good understanding of CICD Git Terraform or equivalent infrastructureascode tools and DevOps practices"
Skills
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