Databricks Platform Architect -AWS (Onsite)
GSK Solutions
Job Title
Databricks Platform Architect AWS (Onsite)
Location
Dallas, TX
Duration
6.7 Months
Interview Type
Virtual / In-Person
Note
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This is onsite position from Toyota Plano office , expected to be in office minimum 3 days a week
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Locals Only
Description
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Architect and manage a secure, scalable, and highly available Databricks Lakehouse Platform on AWS.
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Design data platforms leveraging AWS S3, Delta Lake, Unity Catalog, and Databricks Workspaces for enterprise analytics and AI.
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Define networking architecture including VPC, PrivateLink, IAM roles, security groups, and encryption standards.
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Establish multi-environment strategies (Dev, Test, UAT, Prod) with automated provisioning through Terraform and Infrastructure as Code (IaC).
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Implement enterprise-wide data governance, lineage, metadata management, and compliance controls using Unity Catalog.
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Design high-performance data ingestion and processing architectures supporting batch, streaming, and real-time analytics workloads.
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Enable AI and GenAI capabilities through Mosaic AI, Vector Search, Model Serving, AI/BI Dashboards, and Genie Spaces.
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Define CI/CD, monitoring, logging, and observability frameworks using GitHub, Jenkins, CloudWatch, and Databricks Workflows.
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Optimize platform performance, reliability, scalability, and cloud costs through FinOps and workload optimization practices.
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Provide architectural leadership and best practices for Lakehouse modernization, advanced analytics, AI governance, and enterprise data platform adoption.
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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 :
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DataBricks Platform Administrator /Databricks Certified Data Engineer/
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AWS Certification (DevOps/Solution Architect)
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Terraform
Deliverables:
-Process Flows
-Mentor and Knowledge transfer to client project team members
-Participate as primary, co and/or contributing author on any and all project deliverables associated with their assigned areas of responsibility
-Participate in data conversion and data maintenance
-Provide best practice and industry specific solutions
-Advise on and provide alternative (out of the box) solutions
-Provide thought leadership as well as hands on technical configuration/development as needed.
-Participate as a team member of the functional team
-Perform other duties as assigned.
Top Skills
| S.No Skill Name Experience | ||
| 1 | Databricks on AWS Platform Engineer Platform Architecture | |
| 2 | Architect and manage a secure, scalable, and highly available Databricks Lakehouse Platform on AWS. | |
| 3 | Design data platforms leveraging AWS S3, Delta Lake, Unity Catalog, and Databricks Workspaces for enterprise analytics and AI. | |
| 4 | Define networking architecture including VPC, PrivateLink, IAM roles, security groups, and encryption standards. | |
| 5 | Establish multi-environment strategies (Dev, Test, UAT, Prod) with automated provisioning through Terraform and Infrastructure as Code (IaC). | |
| 6 | Implement enterprise-wide data governance, lineage, metadata management, and compliance controls using Unity Catalog. | |
| 7 | Design high-performance data ingestion and processing architectures supporting batch, streaming, and real-time analytics workloads. | |
| 8 | Enable AI and GenAI capabilities through Mosaic AI, Vector Search, Model Serving, AI/BI Dashboards, and Genie Spaces. | |
| 9 | Define CI/CD, monitoring, logging, and observability frameworks using GitHub, Jenkins, CloudWatch, and Databricks Workflows. | |
| 10 | Optimize platform performance, reliability, scalability, and cloud costs through FinOps and workload optimization practices. | |
| 11 | Provide architectural leadership and best practices for Lakehouse modernization, advanced analytics, AI governance, and enterprise data platform adoption. |
Recruiter
Contact: Lokesh - View email address on us.fitly.work - Eight three two - Nine nine zero - Two four two six
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