Enterprise AWS Cloud Data & AI Architect
Astra North Infoteck Inc.
- Toronto, ON
- Permanent
- Full-time
Experience: 15+ Years? Role OverviewWe 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
- 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
- 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
- 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
- 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
- Work in Agile environments with cross-functional teams
- Ensure timely delivery of high-quality solutions
- Drive continuous improvement in architecture and processes
- 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
- 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
- Experience enabling data and ML teams
- Strong problem-solving and analytical skills
- Excellent communication and stakeholder management
- Experience in Agile delivery environments