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NEXTMOVEFDE careers · United States
Bank of America

Principal Cloud Data Architect - Channels Data Platforms and Analytics

AI summary of the role

Define and communicate the solution intent and architectural vision across Business, Data, Application, and Technology domains.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Build and maintain a multi-year modernization roadmap for Channels Data Platforms, including mainframe, Hadoop, ETL, and analytics components.
  • Lead transformation from Informatica, on-prem databases, Hadoop, and mainframe-based reporting into cloud-native architectures (Azure, Databricks/Delta, Snowflake, Event Hubs/Kafka).
  • Provide end-to-end architectural oversight for Payment Tracker, including UI, APIs/microservices, data models, analytics layers, and dashboards.
  • Drive the creation of reusable accelerators, libraries, templates, migration playbooks, and modernization frameworks.

What you’ll bring

  • 12+ years in data/software engineering with 8+ years designing enterprise data platforms or large distributed architectures.
  • Demonstrated leadership in cloud modernization (Azure preferred), including Databricks (Spark/Delta), Snowflake, Kafka/Event Hubs.
  • Strong background in modernizing legacy systems, including Informatica ETL, Hadoop/Big Data systems, and mainframe workloads (batch pipelines, reporting interfaces).
  • Deep expertise in NFR driven design: resiliency, security, performance, scalability, observability, and operational excellence.

Technologies

Azure · Databricks · Snowflake · Kafka · Informatica · Hadoop · Mainframe · Python · SQL · Kubernetes

About Bank of America

Universal bank serving consumers, businesses and institutions across deposits, lending, wealth, investment banking and markets, anchored by Merrill and BofA Securities.

Public · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

successful career with opportunities to learn, grow, and make an impact. Join us! Position Summary: The Principal Engineer serves as the architectural authority for Channels Data Platforms and Analytics. This leader defines the target state architecture, drives modernization from legacy technologies to cloud native platforms, and ensures security, resiliency, performance, and compliance across the data and analytics ecosystem. The role provides strategic and technical oversight for the Payment Tracker and guides the transformation of large scale engineering teams and platforms, including mainframe based reporting systems. The Principal Engineer will lead the architecture, modernization, and transformation of the Channels Data Platform, which today includes on prem data warehouses, Informatica ETL, Hadoop ecosystems, mission critical mainframe processing, and legacy reporting
More from the job description

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Position Summary: The Principal Engineer serves as the architectural authority for Channels Data Platforms and Analytics. This leader defines the target state architecture, drives modernization from legacy technologies to cloud native platforms, and ensures security, resiliency, performance, and compliance across the data and analytics ecosystem. The role provides strategic and technical oversight for the Payment Tracker [... source excerpt omitted ...] D for the data and analytics portfolio: evaluate emerging tools, run POCs/Pilots, benchmark performance, publish decision records, and set technology adoption standards. Required Qualifications 12+ years in data/software engineering with 8+ years designing enterprise data platforms or large distributed architectures. Demonstrated leadership in cloud modernization (Azure preferred), including Databricks (Spark/Delta), Snowflake, Kafka/Event Hubs. Strong background in modernizing legacy systems, including Informatica ETL, Hadoop/Big Data systems, and mainframe workloads (batch pipelines, reporting interfaces). Deep expertise in NFR driven design: resiliency, security, performance, s [... source excerpt omitted ...] orchestration, Oracle/Postgres, Python, SQL, Java/Scala (optional), Git, Azure DevOps/Jenkins, Docker/Kubernetes/OpenShift, Collibra, AppDynamics/Splunk/Grafana.Starburst Desired Qualifications Experience in Payments, Channels, CashPro, or analytics driven applications. Knowledge of semantic layers (dbt, LookML), data quality frameworks (Great Expectations/Deequ), and data governance (Purview, Collibra). FinOps experience with cost optimization for cloud data workloads. Advanced understanding of streaming, event driven architectures, and ML/AI integration. Job Description: This job is responsible for defining and leading the engineering approach for solutions at the program or p

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