Databricks Architect
Indexed description
Databricks Platform Architect
Duration 12+ Months Contract
USC,GC,GCEAD,H4EAD,H1B
Interview :- Virtual
These five locations : Lexington KY, Cincinnati, OH. Princeton, IN. San Antonio, TX. Georgetown KY ( This is onsite role for given locaitons)
AWS and Databricks Certification Mandatory.
Description:
- Architect and manage a secure, scalable, and highly available Databricks Lakehouse Platform on AWS.
- Design data platforms leveraging AWS S3, Delta Lake, Unity Catalog, and Databricks Workspaces for enterprise analytics and AI.
- Define networking architecture including VPC, PrivateLink, IAM roles, security groups, and encryption standards.
- Establish multi-environment strategies (Dev, Test, UAT, Prod) with automated provisioning through Terraform and Infrastructure as Code (IaC).
- Implement enterprise-wide data governance, lineage, metadata management, and compliance controls using Unity Catalog.
- Design high-performance data ingestion and processing architectures supporting batch, streaming, and real-time analytics workloads.
- Enable AI and GenAI capabilities through Mosaic AI, Vector Search, Model Serving, AI/BI Dashboards, and Genie Spaces.
- Define CI/CD, monitoring, logging, and observability frameworks using GitHub, Jenkins, CloudWatch, and Databricks Workflows.
- Optimize platform performance, reliability, scalability, and cloud costs through FinOps and workload optimization practices.
- Provide architectural leadership and best practices for Lakehouse modernization, advanced analytics, AI governance, and enterprise data platform adoption.
- Core Technologies: Databricks, AWS S3, Delta Lake, Unity Catalog, Spark/PySpark, Terraform, GitHub, CI/CD, CloudWatch, Mosaic AI, Genie, Vector Search, MLflow, Kafka, Airflow, Kubernetes.
Certification :
- DataBricks Platform Administrator /Databricks Certified Data Engineer/
- AWS Certification (DevOps/Solution Architect)
- Terraform
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