American Express is seeking a Senior Data Architect (Data Virtualization & CCaaS) to design and deliver scalable, secure, and future-ready data solutions, modernizing contact center ecosystems (CCaaS) and enabling seamless data integration, analytics, and operational excellence.
Requirements
- Expert in Contact Center technologies, with deep knowledge of Genesys (InfoMart, GAAP, GIDB, SpeechMiner) and hands-on experience with CCaaS platforms such as Five9, Google CCAI, or Amazon Connect.
- Proficient in data engineering and architecture—skilled in SQL, data modeling, ETL/ELT pipeline design, and data warehousing using BigQuery or similar platforms.
- Experienced in real-time and event-driven data processing, leveraging Kafka, Google Pub/Sub, or AWS Kinesis, with strong programming skills in Python and automation scripting.
- Versatile in data systems and integration, including API-based ingestion (REST, SOAP, webhooks), RDBMS/NoSQL databases (Oracle, PostgreSQL, MongoDB, Cassandra), and data virtualization tools like Denodo or BigQuery Omni.
- Apply banking data domain expertise to design and optimize data engineering and integration solutions.
- Demonstrate strong analytical and problem-solving abilities to troubleshoot and resolve complex technical challenges effectively.
- Stay current with industry trends and emerging technologies in CCaaS platforms such as Five9, Google CCAI, and Amazon Connect.
Responsibilities
- Architect hybrid data solutions that seamlessly integrate on-premises and cloud platforms, enabling coexistence between legacy and modern systems.
- Lead data migration and modernization initiatives by analyzing existing contact center environments—including data structures, dependencies, and integration points—and developing comprehensive migration strategies, timelines, and risk mitigation plans for transitioning from on-premises to cloud platforms.
- Design and implement scalable data architectures—including virtualization frameworks, federated data access layers, and real-time integration pipelines—aligned with enterprise data strategy, governance, and performance standards.
- Develop and maintain unified data models and semantic layers, defining canonical data models, data contracts, and transformation rules to ensure interoperability, schema compatibility, data integrity, and consistent enterprise-wide analytics.
- Implement and enforce data governance, security, and access control policies across virtualized and hybrid environments.
- Establish non-functional requirements including scalability, resilience, security, compliance, performance, and disaster recovery.
- Implement and manage CI/CD pipelines for data and application delivery.
Other
- 10+ years of experience in designing, building, and managing contact center and enterprise data platforms.
- Demonstrated leadership, analytical, and problem-solving abilities, with proven success in Agile environments, strong stakeholder collaboration, and a continuous drive for innovation and performance optimization.
- Collaborate closely with data engineers, analysts, architects, product managers, and business stakeholders to deliver unified and actionable data solutions.
- Provide technical leadership through code reviews, mentorship, and continuous process improvement.
- Contribute to cross-functional initiatives, innovation sessions, and knowledge-sharing activities to foster continuous improvement.
