We are looking for a Technical Architect who can work closely with SAP and analytics teams to design and build scalable data solutions. The role involves working closely with SAP analytics AI/ML and engineering teams to design scalable graph-based data solutions AI-enabled knowledge intelligence platforms and enterprise integrations.
Key Responsibilities
Create and optimizedata schemastailored formachine learning and analytics use cases
Design and implementdata pipelinesinvolving:
Data ingestion (batch and streaming)
ETL processes
Workflow orchestration onAWS
Build deploy and maintainREST APIsfor data access and integration
Define architecture patterns for AI/LLM-enabled search retrieval and analytics capabilities.
Integrate solutions withMicrosoft Teamsfor notifications workflows or insights sharing
Collaborate with SAP functional and technical teams to supportsecurity access and analytics use cases
Ensure data quality performance and scalability across platforms
Define scalable and secure cloud-native architecture using AWS services and DevOps best practices.
Support AI response stabilization approaches including controlled retrieval indexing strategies contextual filtering and workflow orchestration.
Design develop and managegraph data models with a strong focus onNeo4j.
Required Skills & Experience
Strong understanding ofdata modeling and schema designfor ML-driven applications
Prior experience working in SAP-driven enterprise environments
Exposure to DevOps Infrastructure as Code (Terraform/CloudFormation) Docker or Kubernetes.
Required Skills:
AWSGraph DatabasesPythonRESTETL Tools
Job Title: Technical ArchitectLocation: Remote/HybridExperience: 10 yrsBudget : 30 LPA NP-ImmediateJoiners or 15 days notice period Job Summary We are looking for a Technical Architect who can work closely with SAP and analytics teams to design and build scalable data solutions. The role involves w...
We are looking for a Technical Architect who can work closely with SAP and analytics teams to design and build scalable data solutions. The role involves working closely with SAP analytics AI/ML and engineering teams to design scalable graph-based data solutions AI-enabled knowledge intelligence platforms and enterprise integrations.
Key Responsibilities
Create and optimizedata schemastailored formachine learning and analytics use cases
Design and implementdata pipelinesinvolving:
Data ingestion (batch and streaming)
ETL processes
Workflow orchestration onAWS
Build deploy and maintainREST APIsfor data access and integration
Define architecture patterns for AI/LLM-enabled search retrieval and analytics capabilities.
Integrate solutions withMicrosoft Teamsfor notifications workflows or insights sharing
Collaborate with SAP functional and technical teams to supportsecurity access and analytics use cases
Ensure data quality performance and scalability across platforms
Define scalable and secure cloud-native architecture using AWS services and DevOps best practices.
Support AI response stabilization approaches including controlled retrieval indexing strategies contextual filtering and workflow orchestration.
Design develop and managegraph data models with a strong focus onNeo4j.
Required Skills & Experience
Strong understanding ofdata modeling and schema designfor ML-driven applications