> Markdown version of [/jobs/ext/1967069-principal-cloud-data-architect-channels-data-platforms-and-analytics](https://www.wearedevelopers.com/jobs/ext/1967069-principal-cloud-data-architect-channels-data-platforms-and-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Principal Cloud Data Architect - Channels Data Platforms and Analytics

- **Company:** Bank of America
- **Location:** Addison, TX, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Data Analysis, Computing Platforms, Application Services, Microsoft Azure, Cloud Computing, Cloud Database, Cloud Engineering, Databases, Continuous Integration, Extract Transform Load (ETL), Data Mart, Distributed Systems, Apache Hadoop, Python (Programming Language), PostgreSQL, Mainframes, OpenShift, Oracle (Applications), Performance Tuning, Standard Sql, Azure Data Lake, Software Engineering, SQL Databases, Enterprise Data Management, Azure Service Bus, Snowflake, Grafana, Git, Kubernetes, Collibra, Apache Kafka, Data Management, Cloud Migration, Api Gateway, Splunk, Appdynamics, Docker, Key Vault, Legacy Systems, Jenkins, Databricks, Microservices
- **Published:** August 7, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/principal-cloud-data-architect-channels-data-platforms-and-analytics-addison-tx-usa-58826007

## About the Role

scalable expectations * Drive enterprise alignment with Enterprise Architecture, Platform Architecture, Information Governance, Risk, and Product * Lead transformation from Informatica, on-prem databases, Hadoop, and mainframe to cloud-native architectures (Azure, Databricks/Delta, Snowflake) * Define migration paths for mainframe jobs and legacy ledger reporting into scalable architectures * Implement CI/CD for data, Infrastructure as Code, observability, and cost/performance governance * Ensure platform resiliency, scalability, HA/DR, autoscaling, and performance tuning * Provide end-to-end architectural oversight for Payment Tracker (UI, APIs, data models, analytics, dashboards) * Guide design for real-time and near real-time insights and data marts within Payment Tracker * Ensure adherence to NFRs and integrated monitoring/alerting for data and application services * Lead design and code reviews; resolve blockers; ensure compliance with Risk Framework, data privacy, entitlements, and aa
and expectations * Partner with delivery teams to translate strategy into actionable backlogs and architecture epics * Drive reusable accelerators, templates, migration playbooks, and modernization frameworks * Mentor engineers and elevate engineering excellence across Channels Technology * Own R&D for data and analytics portfolio: evaluate tools, run POCs, benchmark, publish records, set adoption 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 legacy systems (Informatica ETL, Hadoop, mainframe workloads) * Deep expertise in non-functional requirements: resiliency, security, performance, observability * Strong SQL and Python (Scala or Java a plus) * Proven ability to influence senior leaders and deliver in regulated environments * Strong communication skills for executive,
business, and technical audiences * Experience with microservices, containers (Kubernetes/OpenShift), API gateways, and integration patterns * Representative tools/technologies: 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 * in-office culture with flexible work arrangements * focus on inclusion and a supportive workplace * wellness support (physical, emotional, financial)

## Description

Experteer Overview As Principal Cloud Data Architect, you will set the target-state architecture for Channels Data Platforms and Analytics, leading modernization from on-prem and legacy systems to cloud-native solutions. You'll shape the multi-year roadmap, ensure security and compliance, and guide large engineering teams through complex migrations including mainframe workloads. You will drive end-to-end architecture for Payment Tracker and enable real-time analytics through modern tech stacks. This role offers opportunities to influence enterprise architecture, governance, and delivery at scale, with a mission-driven, collaborative culture. Compensation / Benefits * Define and communicate solution intent and architectural vision across Business, Data, Application, and Technology domains * Build a multi-year modernization roadmap for Channels Data Platforms (mainframe, Hadoop, ETL, analytics) * Establish operating models, patterns, and guardrails to support evolving capabilities and regulatory expectations * Drive enterprise alignment with Enterprise Architecture, Platform Architecture, Information Governance, Risk, and Product * Lead transformation from Informatica, on-prem databases, Hadoop, and mainframe to cloud-native architectures (Azure, Databricks/Delta, Snowflake) * Define migration paths for mainframe jobs and legacy ledger reporting into scalable architectures * Implement CI/CD for data, Infrastructure as Code, observability, and cost/performance governance * Ensure platform resiliency, scalability, HA/DR, autoscaling, and performance tuning * Provide end-to-end architectural oversight for Payment Tracker (UI, APIs, data models, analytics, dashboards) * Guide design for real-time and near real-time insights and data marts within Payment Tracker * Ensure adherence to NFRs and integrated monitoring/alerting for data and application services * Lead design and code reviews; resolve blockers; ensure compliance with Risk Framework, data privacy, entitlements, and audit expectations * Partner with delivery teams to translate strategy into actionable backlogs and architecture epics * Drive reusable accelerators, templates, migration playbooks, and modernization frameworks * Mentor engineers and elevate engineering excellence across Channels Technology * Own R&D for data and analytics portfolio: evaluate tools, run POCs, benchmark, publish records, set adoption 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 legacy systems (Informatica ETL, Hadoop, mainframe workloads) * Deep expertise in non-functional requirements: resiliency, security, performance, observability * Strong SQL and Python (Scala or Java a plus) * Proven ability to influence senior leaders and deliver in regulated environments * Strong communication skills for executive, business, and technical audiences * Experience with microservices, containers (Kubernetes/OpenShift), API gateways, and integration patterns * Representative tools/technologies: 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 * in-office culture with flexible work arrangements * focus on inclusion and a supportive workplace * wellness support (physical, emotional, financial)


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