Principal Engineer - Channels Data Platforms and Analytics
Company: Bank of America
Location: Charlotte
Posted on: April 2, 2026
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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 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 Bank’s 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 skills—capable
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/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 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: 1st shift (United States of
America) Hours Per Week: 40
Keywords: Bank of America, Winston-Salem , Principal Engineer - Channels Data Platforms and Analytics, IT / Software / Systems , Charlotte, North Carolina
