Overview
Job Summary: We are looking for a seasoned AWS Infrastructure & Data Management Engineer to lead cloud infrastructure initiatives and data operations for enterprise-grade solutions. This senior-level role demands strong technical expertise, leadership capabilities, and excellent communication skills to engage directly with clients, understand their business needs, and deliver scalable, secure, and efficient solutions.
Key Responsibilities
- Client Engagement & Leadership: Serve as the primary technical point of contact for clients translating business requirements into technical solutions; lead technical discussions, solution presentations, and architecture reviews with stakeholders.
- AWS Infrastructure Design & Management: Architect and implement secure, scalable, and cost-effective AWS environments; manage core AWS services including EC2, S3, RDS, Lambda, IAM, CloudFormation, CloudWatch, and VPC; automate infrastructure provisioning and configuration using Infrastructure-as-Code (IaC) tools; monitor system performance, conduct root cause analysis, and implement proactive improvements.
- Advanced Data Management: Design and manage data workflows including ingestion, transformation, and movement across environments; write and optimize SQL queries for data extraction, reporting, and validation; collaborate with data engineering teams to support ETL pipelines and data lake solutions; ensure data governance, integrity, and compliance with client and regulatory standards.
- Release Management & DevOps: Define and implement branching strategies and release packaging standards; manage CI/CD pipelines using tools like Jenkins, GitHub Actions, AWS CodePipeline, or similar; coordinate deployment activities across environments ensuring minimal downtime and rollback readiness; maintain version control, release documentation, and deployment logs.
- Qualifications & Experience: 8 years of experience in cloud infrastructure and data operations with a strong focus on AWS; proven experience in client-facing roles including solutioning presentations and stakeholder management; proficiency in SQL and data handling across structured and semi-structured formats; strong understanding of Git workflows, release packaging, and CI/CD practices; hands-on experience with infrastructure automation tools (e.g., Terraform, CloudFormation); excellent communication, documentation, and interpersonal skills.
Key Skills
- Project Management Methodology
- Project / Program Management
- Change Management
- Order Management System
- Business Analysis
- Visio
- Data Management
- Metadata
- Management Consulting
- Data Analysis Skills
- Taxonomy
Employment Type : Full-time
Experience : years
Vacancy : 1