Enterprise AWS Cloud Data & AI Architect

Role Overview

We are seeking a highly experienced AWS AI/ML Architect to lead the design and implementation of scalable data and AI platforms. This role focuses on building enterprise-grade data ecosystems on AWS, enabling advanced analytics and machine learning capabilities across the organization.

Key Responsibilities

Cloud & Architecture

• Design and implement scalable AWS-based data and AI/ML architectures
• Lead end-to-end solution design across data, analytics, and ML platforms
• Define best practices for cloud architecture, security, and performance optimization

Data Engineering & Big Data

• Architect and manage data lakes, data warehouses, and analytics pipelines
• Design and optimize ETL/ELT workflows for large-scale data processing
• Work with Big Data technologies such as:
  • Hadoop
  • Spark
  • Hive
  • HBase
  • NoSQL databases

AI/ML Platform Enablement

• Enable and support data science and ML teams with scalable infrastructure
• Design platforms for:
  • Model training and deployment
  • Data preparation and feature engineering
• Integrate AI/ML workflows into enterprise data ecosystems

Data Modeling & Analytics

• Develop and enforce data modeling standards and best practices
• Design data warehouse (DW) schemas and enterprise analytics solutions
• Ensure data quality, consistency, and governance across platforms

Leadership & Stakeholder Management

• Lead solution design discussions with business and technical stakeholders
• Drive large-scale data transformation initiatives
• Provide guidance to engineering teams and ensure alignment with business goals
• Support production systems and ensure high availability and reliability

Delivery & Methodology

• Work in Agile environments with cross-functional teams
• Ensure timely delivery of high-quality solutions
• Drive continuous improvement in architecture and processes

Required Skills & Experience

Core Requirements

• 15+ years of experience in data engineering / analytics
• 8+ years of hands-on experience with AWS cloud platform
• Strong expertise in:
  • AWS architecture (Data, Analytics, ML, AI)
  • Enterprise data platforms and transformation initiatives

Technical Skills

• Big Data: Hadoop, Spark, Hive, HBase
• Data Engineering: ETL/ELT, pipelines, data lakes, data warehouses
• Databases: NoSQL and relational systems
• Data Modeling and Data Warehouse design

Additional Capabilities

• Experience enabling data and ML teams
• Strong problem-solving and analytical skills
• Excellent communication and stakeholder management
• Experience in Agile delivery environments

Requirements

• 4-6 Years Experience
• Essential Skills:
  • Work with project teams throughout the organization to design, implement, and manage CDN infrastructure using Akamai, to ensure high availability, performance, and scalability for customer facing applications and business processes.
  • Handle multiple priorities and assignments with excellence and precision.
  • Be a part of a 24/7/365 organization (some after hours support is expected as part of normal on-call rotation).
  • Directly support line of busine