Databricks Architect
I-Flow
Job Title:Databricks Architect
Location: Louisville, KY Onsite
Duration: 6 months
Experience Required: 8-10 Job description:
Work Location (State, City and
Zip) Base salary range (Min. & Max. to be mentioned) Experience Range:
101 E Main
street,Louisville,KY,40202/Remote 8+ yrs
Must Have Technical/Functional Skills
• Design, delivery, and implementation of Google Cloud Platform (GCP) infrastructure and
solutions.
• Architect design and implement large-scale migration pipelines from on-prem systems to
Azure Data Lake Storage (ADLS).
• Architect experience in generating data pipelines in Azure ADF
• GCP Expertise: Strong knowledge of GCP AI/ML services and infrastructure.
• AI/ML Frameworks: Proficiency with TensorFlow or PyTorch.
• Technical Skills: Experience with Python, data modeling, SQL, and APIs.
• Infrastructure as Code: Experience with Terraform for automation.
• Experience: Proven ability in delivering AI/ML solutions in a cloud environment
• Experience with performing analytics on data for stakeholders.
• Experience in ingesting data from different sources using in Azure ADF
• Ensure reliable handling of high-volume unstructured data with performance and cost
efficiency.
• Implement data quality checks, logging, and traceability to support audit and compliance
needs.
• Experience in transforming data using Azure Databricks & Delta lake Roles & Responsibilities
• Architecture & Design: Design enterprise-grade AI platforms, including RAG (Retrieval-
Augmented Generation) and agentic solutions.
• GCP Implementation: Develop AI models using Vertex AI and Gemini, ensuring security and
performance.
• Pipeline Development: Build and manage data pipelines, model lifecycle, CI/CD, and
MLOps/LLMOps with Cloud Build and Vertex AI Pipelines.
• Cloud Infrastructure: Utilize GKE, Cloud Run, and BigQuery for robust application
deployment.
• Strategy & Governance: Implement AI safety features, monitor model performance, and
manage costs.
Generic Managerial Skills, If any
Experience working in agile development projects
Role Descriptions: Google Gen AI cloud| Databricks Architect
Essential Skills: Google Gen AI cloud| Databricks Architect
Desirable Skills:
Keyword:
Skills: AI & Gen AI - Products & Tools
Location: Louisville, KY Onsite
Duration: 6 months
Experience Required: 8-10 Job description:
Work Location (State, City and
Zip) Base salary range (Min. & Max. to be mentioned) Experience Range:
101 E Main
street,Louisville,KY,40202/Remote 8+ yrs
Must Have Technical/Functional Skills
• Design, delivery, and implementation of Google Cloud Platform (GCP) infrastructure and
solutions.
• Architect design and implement large-scale migration pipelines from on-prem systems to
Azure Data Lake Storage (ADLS).
• Architect experience in generating data pipelines in Azure ADF
• GCP Expertise: Strong knowledge of GCP AI/ML services and infrastructure.
• AI/ML Frameworks: Proficiency with TensorFlow or PyTorch.
• Technical Skills: Experience with Python, data modeling, SQL, and APIs.
• Infrastructure as Code: Experience with Terraform for automation.
• Experience: Proven ability in delivering AI/ML solutions in a cloud environment
• Experience with performing analytics on data for stakeholders.
• Experience in ingesting data from different sources using in Azure ADF
• Ensure reliable handling of high-volume unstructured data with performance and cost
efficiency.
• Implement data quality checks, logging, and traceability to support audit and compliance
needs.
• Experience in transforming data using Azure Databricks & Delta lake Roles & Responsibilities
• Architecture & Design: Design enterprise-grade AI platforms, including RAG (Retrieval-
Augmented Generation) and agentic solutions.
• GCP Implementation: Develop AI models using Vertex AI and Gemini, ensuring security and
performance.
• Pipeline Development: Build and manage data pipelines, model lifecycle, CI/CD, and
MLOps/LLMOps with Cloud Build and Vertex AI Pipelines.
• Cloud Infrastructure: Utilize GKE, Cloud Run, and BigQuery for robust application
deployment.
• Strategy & Governance: Implement AI safety features, monitor model performance, and
manage costs.
Generic Managerial Skills, If any
Experience working in agile development projects
Role Descriptions: Google Gen AI cloud| Databricks Architect
Essential Skills: Google Gen AI cloud| Databricks Architect
Desirable Skills:
Keyword:
Skills: AI & Gen AI - Products & Tools
Vacancy posted 3 days ago
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