Delivery Solution Architect

**Why SoftwareOne?**

**The role**
- 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**:

- 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**:

- 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.

**What we need to see from you**
- Proven experience (5+ years) as a Solution Architect in data and AI projects using AWS technologies.
- Deep understanding of AWS data services, such as S3, Redshift, Glue, EMR, and Athena.
- Strong knowledge of AI/ML services like SageMaker, Rekognition, Comprehend, and Lex.
- Expertise in serverless computing (Lambda, Step Functions) and containerization (ECS, EKS).
- Proficiency in Python, SQL, and other programming languages for data processing and AI/ML workflows.
- Hands-on experience with AWS security best practices, including IAM, KMS, and VPC.
- Exceptional problem-solving and analytical skills.
- Strong verbal and written communication, capable of explaining technical concepts to non-technical stakeholders.
- Leadership and mentoring skills to guide teams towards successful project delivery.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields.
- Relevant certifications such as:

- AWS Certified Solutions Architect (Associate/Professional)
- AWS Certified Data Analytics - Specialty
- AWS Certified Machine Learning - Specialty
- Partner with delivery leads to ensure projects meet client expectations and technical standards.
- Continuously explore advancements in AWS technologies to propose innovative solutions.
- Provide thought leadership and technical direction across data and AI initiatives.
- Drive pre-sales discussions to define solution strategies and showcase AWS capabilities.
- Address project challenges proactively and ensure deliverables are of the highest quality.- This role is ideal for an AWS expert passionate about leveraging cloud technologies to deliver transformative data and AI solutions.

**Job Function**

Software & Cloud