AWS Solutions Architect

Work Location: Tampa, FL

Work Type - Hybrid

Employment Term 6-12 months

Architectural Leadership

• Design and implement cutting-edge data Lakehouse architectures on AWS, utilizing services including AWS Lake Formation, Amazon Redshift, Amazon S3, and AWS Glue
• Define comprehensive data strategy encompassing ingestion, processing, storage, and governance for diverse data types and sources
• Establish architectural patterns and standards that ensure scalability, performance, and maintainability across the data platform

Advanced Analytics & AI/ML Integration

• Architect seamless integration between data Lakehouse infrastructure and machine learning services, particularly Amazon SageMaker
• Enable data scientists and analysts to build, train, and deploy models at scale through well-designed data pipelines and ML workflows
• Design analytics frameworks that support both batch and real-time processing requirements

Infrastructure Excellence

• Leverage AWS Systems Manager and other operational tools to automate infrastructure management, security patching, and monitoring
• Implement Infrastructure as Code (IaC) practices using tools like AWS CloudFormation or Terraform
• Ensure operational excellence through robust monitoring, alerting, and disaster recovery strategies

Cost Optimization & Security

• Implement comprehensive cost management strategies including resource optimization, right sizing, and efficient data lifecycle policies
• Design and enforce security best practices, ensuring compliance with industry standards and regulatory requirements
• Establish data governance frameworks that maintain data quality, lineage, and access controls

Stakeholder Collaboration

• Partner closely with data engineers, data scientists, and business stakeholders to understand requirements and translate them into technical solutions
• Present architectural designs and recommendations to senior leadership and technical teams
• Drive cross-functional initiatives that align technical capabilities with business objectives

Technical Leadership & Mentorship

• Provide technical guidance and mentorship to junior architects and engineers
• Foster a culture of continuous learning, innovation, and best practices adoption
• Lead technical reviews, architecture discussions, and knowledge-sharing sessions

Required Qualifications

Professional Experience

• 5 years of proven experience as a Solutions Architect, Cloud Architect, or similar role with focus on data and analytics solutions
• Demonstrated success in architecting and implementing large-scale data platforms on AWS
• Strong track record of delivering complex technical projects from conception to production deployment

AWS Technical Expertise

• Data & Analytics Services: Deep expertise with Amazon Redshift, AWS Lake Formation, AWS Glue, Amazon S3, Amazon EMR, and Amazon Kinesis
• AI/ML Services: Hands-on experience with Amazon SageMaker, including model training, deployment, and MLOps practices
• Management & Governance: Proficiency with AWS Systems Manager, IAM, CloudWatch, AWS Config, and AWS CloudTrail
• Integration & Orchestration: Experience with AWS Step Functions, Lambda, and API Gateway

Technical Skills

• Strong background in designing scalable, secure, and cost-effective cloud architectures
• Experience with data modeling, ETL/ELT processes, and data warehouse design principles
• Knowledge of programming languages such as Python, SQL, and infrastructure automation tools
• Understanding of DevOps practices and CI/CD pipelines for data and ML workloads

Certifications

• AWS Certified Solutions Architect - Associate (required)
• AWS Certified Solutions Architect - Professional or AWS Certified Data Analytics - Specialty (preferred)
• Additional relevant certifications are a plus

Location Requirements

• Must reside in or be willing to relocate to Tampa, Florida
• Hybrid work environment with occasional travel for client engagements and team collaboration