Enterprise Architect; Data, AI & AWS

Hi,

Our client is looking for an Enterprise Architect (Data, AI & AWS Transformation) for a project and below is the detailed requirement.

Job Title:
Enterprise Architect (Data, AI & AWS Transformation)

Location:
Torrance, CA

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Artificial Intelligence, or a related field with 15+ years of overall IT experience.
• Strong experience leading enterprise-scale architecture initiatives across Cloud, Data, Analytics, and AI/ML domains.
• Proven expertise designing and implementing AWS-based enterprise solutions, including S3, Redshift, Glue, Sage Maker, Bedrock, Lambda, EKS, IAM, and Guard Duty.
• Extensive experience architecting and modernizing enterprise data platforms using Data Lakehouse, Data Mesh, Data Warehouse, Snowflake, Databricks, and Apache Spark.
• Strong knowledge of Generative AI, LLM architectures, AI/ML pipelines, Graph RAG, semantic search, predictive analytics, and AI platform integration.
• Hands-on experience building and governing scalable cloud environments using Terraform, Cloud Formation, and Infrastructure as Code (IaC) methodologies.
• Deep understanding of cloud governance, security architecture, compliance frameworks, identity management, and AWS security best practices.
• Proven experience implementing Fin Ops strategies, cloud cost optimization, workload modernization, and operational excellence frameworks.
• Strong background designing enterprise-scale data integration, ETL/ELT, metadata management, data quality, and governance solutions.
• Experience taking AI/ML initiatives from Proof of Concept (PoC) through enterprise production deployment and adoption.
• Excellent communication, executive stakeholder management, architecture governance, and client-facing consulting experience.
• Experience working in Agile environments and collaborating with cross-functional business, engineering, analytics, and leadership teams.

• Partner with business, technology, analytics, and executive stakeholders to define enterprise-wide AI, Data, and Cloud transformation strategies.
• Design and govern target-state enterprise architecture frameworks supporting scalable AI/ML, analytics, and cloud modernization initiatives.
• Lead the architecture and implementation of AWS cloud platforms leveraging services such as Bedrock, Sage Maker, Redshift, Glue, S3, Lambda, and EKS.
• Define enterprise AI/ML architecture standards, including LLM pipelines, Generative AI solutions, predictive analytics platforms, and AI governance frameworks.
• Architect and modernize enterprise data ecosystems using Data Lakehouse, Data Mesh, and cloud-native data platform patterns.
• Establish cloud governance, Fin Ops, security, compliance, and operational best practices across AWS environments.
• Design scalable ETL/ELT, data integration, metadata management, data quality, and data governance frameworks.
• Collaborate with Data Engineering, AI/ML, Dev Ops, Security, and Analytics teams to operationalize enterprise-scale solutions.
• Define architecture standards for Infrastructure as Code (Terraform, Cloud Formation), CI/CD automation, platform engineering, and cloud operations.