Role: Data Architect

H1B Preferred, PP Number Must

Location: ONSITE- Phoenix AZ

Description: Define and own enterprise data architecture aligned to business| regulatory| and technology strategies Design conceptual| logical| and physical data models for financial domain so Customer| Account| Transaction| Payments| Credit| Risk| Fraud| Ledger Establish data structures and schemas optimized for Analytics BIo Real-time streaming use case so AIML and advanced analytics Design and govern data products using a domain-driven| product-centric approach Partner with business and analytics teams to define Data product objective so SLAs| data quality metrics| and consumption patterns Enable self-service data access for analysts| data scientists| and business users Architect modern cloud-based data platforms (AWS Azure GCP) Data Lakes| Lakehouse| Data Warehouses Define standards for Structured| semi-structured| and unstructured data Batch and streaming architectures (Kafka| Event Hubs| Kinesis)Guide implementation ETL ELT pipelines Data orchestration and metadata management Roles Responsibilities Define end-to-end architecture Guide teams on scalability| resiliency| performance| and fault tolerance Collaborate with DevOps teams on CICD| containerization| and cloud deployments Review designs| code| and integration patterns to ensure architectural compliance Mentor developers and technical leads act as a technical thought leader Work closely with business stakeholders to translate requirements into technical solutions

Essential Skills: Define and own enterprise data architecture aligned to business| regulatory| and technology strategies Design conceptual| logical| and physical data models for financial domains Customer| Account| Transaction| Payments| Credit| Risk| Fraud| Ledger Establish data structures and schemas optimized for Analytics BIo Real-time streaming use cases AIML and advanced analytics Design and govern data products using a domain-driven| product-centric approach Partner with business and analytics teams to define Data product objective so SLAs| data quality metrics| and consumption patterns Enable self-service data access for analysts| data scientists| and business users Architect modern cloud-based data platforms (AWS Azure GCP) Data Lakes| Lakehouse| Data Ware houses Define standards for Structured| semi-structured| and unstructured data Batch and streaming architectures (Kafka| Event Hubs| Kinesis)Guide implementation ETLELT pipelines Data orchestration and metadata management Roles Responsibilities Define end-to-end architecture Guide teams on scalability| resiliency| performance| and fault tolerance Collaborate with DevOps teams on CICD| containerization| and cloud deployments Review designs| code| and integration patterns to ensure architectural compliance Mentor developers and technical leads act as a technical thought leader Work closely with business stakeholders to translate requirements into technical solutions