Aws Solution Architect

Quess IT Solutions; Mysuru, Bangalore Rural, Bengaluru; Hybrid; INR 4,000,000 - 5,600,000; Full time

Job summary

Quess IT Solutions seeks a senior data ingestion architect to lead the architecture, design, and deployment of HR data ingestions into the Intel Next platform. You will define ingestion standards, partner with cross-functional teams, and ensure scalable, secure pipelines using AWS-native services.

The role requires hands-on AWS Glue, data lake, and pipeline governance, with collaboration across enterprise architects and security teams to establish best practices and automation frameworks.

Qualifications

• Guide data engineers in AWS-native development and modern data engineering practices.
• Define AWS architecture standards, design patterns, coding standards, and operational guidelines.
• Establish reusable frameworks, CI/CD practices, Infrastructure-as-Code standards, and automation capabilities.

Responsibilities

• Lead architecture, design, and implementation of HR data ingestions into Intel Next.
• Define requirements and technical solutions for API-based, file-based, batch, and event-driven integrations.
• Partner with source-system owners and platform teams to onboard new data providers into Intel Next.
• Drive ingestion architecture reviews, ensure governance and security compliance.

Skills

AWS Glue (Expert)

Data Ingestion Architecture

AWS Data Lake Architecture

API Integration Patterns

AWS Step Functions

EventBridge

Lambda

Metadata Management

Data Lineage

Data Quality Frameworks

Python

SQL

Job description

Role & responsibilities

Lead the architecture, design, and implementation of HR data ingestions into Intel Next. Define and govern ingestion standards, onboarding processes, and reusable integration patterns for new HR data sources. Provide deep technical expertise in AWS Glue for ingestion development, orchestration, optimization, troubleshooting, and deployment. Design scalable, secure, and cost-effective ingestion pipelines using AWS-native services. Partner with source-system owners, Integration Teams, and platform teams to onboard new data providers into Intel Next. Define requirements and technical solutions for API-based, file-based, batch, and event-driven integrations. Establish best practices for metadata management, lineage, monitoring, data quality controls, and operational support. Drive ingestion architecture reviews and ensure compliance with enterprise architecture, security, and governance standards. Support demand assessment, technical questionnaires, BRDs, onboarding activities, and effort estimation for new ingestion requests.

Job Description

Guide and mentor Data Engineers in AWS-native development and modern data engineering practices. Define AWS architecture standards, design patterns, coding standards, and operational guidelines. Establish reusable frameworks, CI/CD practices, Infrastructure-as-Code standards, and automation capabilities. Collaborate with Enterprise Architects, Cloud Platform teams, Security teams, and Infrastructure teams. Support performance tuning, cost optimization, operational excellence, and platform scalability initiatives. Evaluate emerging AWS technologies and contribute to the long-term People Analytics cloud roadmap.

Skill Set Requirement

Guide and mentor Data Engineers in AWS-native development and modern data engineering practices. Define AWS architecture standards, design patterns, coding standards, and operational guidelines. Establish reusable frameworks, CI/CD practices, Infrastructure-as-Code standards, and automation capabilities. Collaborate with Enterprise Architects, Cloud Platform teams, Security teams, and Infrastructure teams. Support performance tuning, cost optimization, operational excellence, and platform scalability initiatives. Evaluate emerging AWS technologies and contribute to the long-term People Analytics cloud roadmap.

Mandatory Skills

• AWS Glue (Expert)
• Data Ingestion Architecture
• AWS Data Lake Architecture
• API Integration Patterns
• AWS Step Functions
• EventBridge
• Lambda
• Metadata Management
• Data Lineage
• Data Quality Frameworks
• Python
• SQL

Experience

8 years +

Preferred Experience

• Experience onboarding data sources into AWS Data Lake platforms.
• Experience defining ingestion standards and governance processes.
• Experience with enterprise integration platforms such as SnapLogic, Informatica, or MuleSoft.
• Experience migrating ingestion pipelines from legacy ETL platforms to AWS-native services.
• Experience with HR data domains and People Analytics platforms.

Preferred candidate profile

Hybrid

MNC Product Based

Only Immediate Joiner preferred or who are currently serving notice period.

NO 30/60/90 Days Notice Period

Only Bangalore Candidates