Overview
Hybrid
Depends on Experience
Contract - Independent
Contract - W2
10% Travel
Skills
Amazon redshift
Amazon S3
AWS Glue
Amazon Sagemaker
Job Details
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
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