AWS Enterprise Engineer / Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Enterprise Engineer/Architect in San Antonio, TX, on a 12+ month contract with a pay rate of "unknown." Requires 10+ years in IT, 5+ in architecture, strong AWS expertise, and relevant certifications.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 11, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
San Antonio, TX
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🧠 - Skills detailed
#S3 (Amazon Simple Storage Service) #Cloud #Data Ingestion #Snowflake #Storage #Azure DevOps #Computer Science #Leadership #Boomi #DevSecOps #GitHub #Deployment #API (Application Programming Interface) #ML (Machine Learning) #Strategy #Azure #Security #AI (Artificial Intelligence) #Scala #Automation #AWS (Amazon Web Services) #DevOps
Role description
Role: AWS Enterprise engineer / Architect Location: San Antonio TX (Day 1 Onsite) Type: 12+ months contract Job Description β€’ Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. Master’s degree preferred. β€’ Experience: Minimum 10 years of progressive IT experience within financial services, mortgage, or insurance industries, including at least 5 years in an architecture leadership role. Required Technical Skills & Expertise β€’ Strong AWS expertise, specifically: β€’ AWS DataSync, AWS Storage Gateway, S3, API Gateway β€’ Cloud cost optimization strategies and implementation β€’ Hands-on experience with IBM WebMethods, Dell Boomi, SnapLogic, or Workato β€’ Designing and governing enterprise API Management solutions β€’ OpenText Captiva β€’ Infrrd Intelligent Document Platform β€’ Opex Imaging and Scanning Solutions β€’ DevSecOps principles and secure SDLC β€’ CI/CD pipeline implementation with: β€’ Azure DevOps β€’ GitHub β€’ Backstage (developer portal enablement) β€’ End-to-end AI/ML model development to production deployment (MLOps) β€’ Familiarity with AI frameworks, Intelligent Sales Agent solutions, and MLOps platforms β€’ Snowflake architecture, data ingestion pipelines, and optimization β€’ Data hub creation and development for cross-domain analytics β€’ Leading Architecture Review Boards β€’ Establishing and enforcing architecture standards, patterns, and principles β€’ Technology stack rationalization and modernization planning β€’ Hands-on detailed architecture design, including infrastructure automation β€’ Lucidchart (or equivalent) for architecture modeling and communication Key Responsibilities β€’ Define and maintain enterprise architecture strategy, standards, and roadmaps aligned with client business objectives. β€’ Provide hands-on architecture design and guidance for large programs and initiatives across cloud, integration, AI/ML, and data domains. β€’ Drive cloud adoption and optimization strategies ensuring security, scalability, and cost efficiency. β€’ Architect and govern integration and API management solutions to enable secure, scalable business capabilities. β€’ Lead AI/ML architecture enablement, ensuring production-grade MLOps practices and intelligent automation use cases. β€’ Enable and review DevSecOps pipelines, developer portals, and modern delivery platforms. β€’ Collaborate with business and technology stakeholders to drive technology stack rationalization initiatives. β€’ Facilitate Architecture Review Board (ARB) sessions, ensuring solution alignment to enterprise standards and strategic objectives. β€’ Guide teams in data platform architecture, ingestion patterns, and data hub designs leveraging Snowflake and modern analytics ecosystems. β€’ Mentor engineers and solution architects to build deep technical capability across the organization. Preferred Certifications β€’ AWS Certified Solutions Architect – Professional β€’ TOGAF, Zachman, or SAFe Architect certifications β€’ AI/ML related certifications (AWS, Azure, Google) β€’ Relevant integration platform certifications (IBM, Dell Boomi, SnapLogic, Workato) Soft Skills & Competencies β€’ Strong executive communication and influence skills β€’ Ability to context switch across strategic, tactical, and operational discussions β€’ High sense of ownership, integrity, and proactive leadership β€’ Collaborative mindset to work across business units, product teams, and infrastructure teams. Regards, Karthick Ramasamy Lead Recruiter Rohnium Inc E- karthick.ramasamy@rohnium.com Website: www.rohnium.com