Job Details
- As a Delivery Solution Architect specializing in Data and Artificial Intelligence (AI) with a focus on AWS technologies, you will design and implement robust, scalable, and cutting-edge solutions leveraging the AWS ecosystem. This role involves collaborating with diverse teams, understanding business needs, and delivering end-to-end data and AI solutions. You will play a pivotal role in driving digital transformation and ensuring technical excellence in the projects you support.
- Solution Design and Architecture:
- Engage with stakeholders to gather and translate business and technical requirements into AWS-based data and AI solutions.
- Design end-to-end architectures for data pipelines, analytics platforms, and AI/ML workloads using AWS services.
- Ensure solutions are scalable, secure, cost-effective, and aligned with AWS best practices.
- AWS Platform Expertise:Ìý
- Utilize AWS services to build modern data and AI platforms, including but not limited to:
- Data Lakes: Amazon S3, AWS Lake Formation
- Data Warehouses: Amazon Redshift
- Data Processing: AWS Glue, Amazon EMR
- AI/ML Services: Amazon SageMaker, AWS AI Services (Comprehend, Rekognition, Lex, etc.)
- Serverless Computing: AWS Lambda, Amazon ECS/Fargate
- Implement and manage IAM policies, VPC configurations, and other security measures.
- Technical Leadership:Ìý
- Provide technical direction and mentorship to development teams during project execution.
- Conduct architectural reviews, ensuring adherence to design principles and performance optimization.
- Troubleshoot complex technical challenges and guide teams to resolution.
- Data Engineering and Integration:
- Design and implement ETL/ELT workflows using AWS Glue, Step Functions, and Lambda.
- Enable seamless integration of data across diverse sources into data lakes or warehouses.
- Utilize AWS Data Migration Service (DMS) for on-premises to cloud data migrations.
- AI/ML Implementation:
- Lead the development and deployment of machine learning models using Amazon SageMaker.
- Design pipelines for training, validating, and deploying models in production using MLOps best practices.
- Leverage AWS AI services for natural language processing, image recognition, and other cognitive tasks.
- Performance Optimization and Security:
- Optimize AWS infrastructure for cost-efficiency, high availability, and performance.
- Implement security best practices, including encryption (KMS), fine-grained IAM roles, and secure API endpoints.
- Ensure compliance with regulatory requirements like GDPR, HIPAA, and SOC 2 using AWS tools and services.
- Documentation and Collaboration:
- Create detailed technical documentation, including architectural diagrams and workflows.
- Act as a bridge between technical teams and business stakeholders, ensuring alignment on objectives.
Ìý
You Might Also Like
Mission
We're connecting diverse talent to big career moves. Meeting people who boost your career is hard - yet networking is key to growth and economic empowerment. We’re here to support you - within your current workplace or somewhere new. Upskill, join daily virtual events, apply to roles (it’s free!).
Are you hiring? Join our platform for diversifiying your team