Principal Engineer Channels Data Platforms and Analytics

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 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 workloads. The role will evolve this platform toward a cloud native scalable resilient architecture leveraging Azure Databricks Snowflake Kafka APIs/microservices and modern engineering patterns.

• Define and communicate the solution intent and architectural vision across Business Data Application and Technology domains.
• Build and maintain a multi year modernization roadmap for Channels Data Platforms including mainframe Hadoop ETL and analytics components.
• Establish target operating models architectural patterns and guardrails to support evolving capabilities and regulatory expectations.
• Drive enterprise alignment by collaborating with Enterprise Architecture Platform Architecture Information Governance Risk and Product.
• Lead transformation from Informatica on prem databases Hadoop and mainframe based reporting into cloud native architectures (Azure Databricks/Delta Snowflake Event Hubs/Kafka).
• Define migration paths for mainframe jobs batch interfaces and legacy ledger/reporting logic into scalable modern architectures.
• Implement CI/CD for data Infrastructure as Code (Terraform/Bicep) observability (logs/metrics/traces) and cost/performance governance.
• Ensure platform resiliency scalability and operational readiness (HA/DR autoscaling performance tuning traffic management).
• Provide end to end architectural oversight for Payment Tracker including UI APIs/microservices data models analytics layers and dashboards.
• Guide design for real time and near real time insights data marts and advanced analytics embedded in Payment Tracker experiences.
• Ensure adherence to NFRs (performance security maintainability reliability) and integrated monitoring/alerting for application and data services.
• Lead design and code reviews; resolve architectural blockers; ensure compliance with the Banks Risk Framework data privacy entitlements masking and audit expectations.
• Partner with delivery teams to translate strategy into actionable technical backlogs and architecture epics.
• Drive the creation of reusable accelerators libraries templates migration playbooks and modernization frameworks.
• Mentor engineers and elevate engineering excellence across Channels Technology.
• Own R&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 scalability observability and operational excellence.
• Strong proficiency in SQL and Python (Scala or Java a plus).
• Proven ability to influence senior leaders drive enterprise alignment and deliver outcomes in highly regulated environments.
• Strong communication skillscapable of translating complex engineering concepts for executive business and technical audiences.
• Strong background in modernizing legacy systems including Informatica ETL Hadoop/Big Data systems and mainframe workloads (batch pipelines reporting interfaces).
• 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 job orchestration Oracle/Postgres Python SQL Java/Scala (optional) Git Azure DevOps/Jenkins Docker/Kubernetes/OpenShift Collibra AppDynamics/Splunk/

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 portfolio level to deliver significant business outcomes. Key responsibilities include continuously improving the design quality and reuse of the solution and delivering technology enablers that improve development efficiencies for the solution. Job expectations include familiarity with at least one area of engineering acting as a go to reference across the organization and applying knowledge to improve technical competencies through recruitment and development activities.

Responsibilities:

• Develops the engineering approach for the entire program/portfolio solution and works with Architecture to develop/analyze/deliver the implementation of technical enablers
• Leads the planning definition and design of the complex features which span multiple teams and explore solution alternatives
• Creates ideas on designing complex technology and solution development approaches
• Leads the technical oversight for teams in solution development including design reviews and code within own domain
• Defines the technology tool stack for the solution within ranged of internally approved and supported technologies
• Explores state-of-the-art technologies to improve development efficiencies quality of test/QA coverage and release management
• Leads and is responsible for the end-to-end test strategy/creation/adherence and the integration between teams for a program/portfolio solution

Skills:

• Automation
• Influence
• Result Orientation
• Stakeholder Management
• Technical Strategy Development
• Application Development
• Architecture
• Business Acumen
• Risk Management
• Solution Design
• Agile Practices
• Analytical Thinking
• Collaboration
• Data Management
• Solution Delivery Process

Shift:

Hours Per Week: