Principal Cloud Data Architect - Channels Data Platforms and Analytics

Experteer Overview As Principal Cloud Data Architect, you will define the target state for Channels Data Platforms and Analytics, leading modernization from legacy systems to cloud-native solutions. You will guide large engineering transformations, ensuring security, performance, and regulatory alignment across data and analytics. You’ll oversee the Payment Tracker architecture and drive cross-discipline collaboration to deliver scalable, resilient platforms. This role offers a chance to shape data-driven capabilities at scale within a trusted financial services organization. Compensation / Benefits * Define and communicate solution intent and architectural vision across domains * Develop and maintain a multi-year modernization roadmap for Channels Data Platforms * Establish operating models, patterns, and guardrails to support evolving capabilities and regulatory expectations * Lead enterprise alignment with Architecture, Information Governance, Risk, and Product * Drive transformation from on-prem and legacy stacks to cloud-native architectures (Azure, Databricks, Snowflake) * Define migration paths for mainframe jobs and legacy reporting * Implement CI/CD, Infrastructure as Code, observability, and cost/performance governance * Ensure platform resiliency, scalability, and operational readiness (HA/DR, autoscaling) * Provide end-to-end architectural oversight for Payment Tracker (UI, APIs, data models, analytics) * Guide design for real-time insights, data marts, and analytics in Payment Tracker * Ensure adherence to NFRs and integrated monitoring * Lead design and code reviews; ensure compliance with Risk Framework and data privacy * Collaborate with delivery teams to translate strategy into backlogs and architecture epics * Create reusable accelerators, templates, and modernization playbooks * Mentor engineers and elevate engineering excellence across Channels Technology * Own R&D for data and analytics portfolio including POCs and technology standards Tasks * 12+ years in data/software engineering * 8+ years designing enterprise data platforms or large distributed architectures * Cloud modernization experience (Azure preferred) including Databricks, Snowflake, Kafka/Event Hubs * Experience modernizing Informatica ETL, Hadoop Big Data, and mainframe workloads * Deep expertise in NFR-driven design (resiliency, security, performance, observability) * Strong SQL and Python skills (Scala/Java a plus) * Ability to influence senior leaders and work in regulated environments * Strong communication skills for executive, business, and technical audiences * Experience with microservices, containers (Kubernetes/OpenShift), API gateways * Representative tools/technologies include Azure ADLS Gen2, Event Hubs, Key Vault, Databricks, Snowflake, Informatica, Kafka, Mainframe/Z Series, Oracle/Postgres, Python, SQL, Java/Scala, Git, Azure DevOps/Jenkins, Docker/Kubernetes/OpenShift, Collibra, AppDynamics/Splunk/Grafana Key requirements *

Data from on-prem and legacy stacks to cloud-native architectures (Azure, Databricks, Snowflake) * Define migration paths for mainframe jobs and legacy reporting * Implement CI/CD, Infrastructure as Code, observability, and cost/performance governance * Ensure platform resiliency, scalability, and operational readiness (HA/DR, autoscaling) * Provide end-to-end architectural oversight for Payment Tracker (UI, APIs, data models, analytics) * Guide design for real-time insights, data marts, and analytics in Payment Tracker * Ensure adherence to NFRs and integrated monitoring * Lead design and code reviews; ensure compliance with Risk Framework and data privacy * Collaborate with delivery teams to translate strategy into backlogs and architecture epics * Create reusable accelerators, templates, and modernization playbooks * Mentor engineers and elevate engineering excellence across Channels Technology * Own R&D for data and analytics portfolio including POCs and technology standards Tasks * 12+ years in data/software engineering * 8+ years designing enterprise data platforms or large distributed architectures * Cloud modernization experience (Azure preferred) including Databricks, Snowflake, Kafka/Event Hubs * Experience modernizing Informatica ETL, Hadoop Big Data, and mainframe workloads * Deep expertise in NFR-driven design (resiliency, security, performance, observability) * Strong SQL and Python skills (Scala/Java a plus) * Ability to influence senior leaders and work in regulated environments * Strong communication skills for executive, business, and technical audiences * Experience with microservices, containers (Kubernetes/OpenShift), API gateways * Representative tools/technologies include Azure ADLS Gen2, Event Hubs, Key Vault, Databricks, Snowflake, Informatica, Kafka, Mainframe/Z Series, Oracle/Postgres, Python, SQL, Java/Scala, Git, Azure DevOps/Jenkins, Docker/Kubernetes/OpenShift, Collibra, AppDynamics/Splunk/Grafana Key requirements *