AWS Solution Architect - A M

Required Skills:

• AWS Glue

• Data Ingestion Architecture

• AWS Data Lake

• AWS Orchestration

• Python

• SQL

• Data Governance

• CI/CD & IaC

• API Integration

Nice to Have:

• Enterprise ETL Platforms

• HR Data / People Analytics

Job Description 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. 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. Core 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.