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 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 Pay
• Transparency details US - NJ - Jersey City - 101 Hudson St - 101 Hudson (NJ2101)
• Pay and benefits information Pay range $156,500.00 - $230,000.00 annualized
• salary, offers to be determined based on experience, education and skill set.
• Discretionary incentive eligible This role is eligible to participate in the
• annual discretionary plan. Employees are eligible for an annual discretionary
• award based on their overall individual performance results and behaviors, the
• performance and contributions of their line of business and/or group; and the
• overall success of the Company.

Benefits

This role is currently benefits

eligible. We provide industry-leading benefits, access to paid time off,

resources and support to our employees so they can make a genuine impact and

contribute to the sustainable growth of our business and the communities we

serve. Bank of America is committed to help employees through the transition

period when they’re displaced as a result of a workforce reduction, realignment

or similar measure. Please review the resume writing and interviewing tips

provided below to help prepare you for your next career opportunity. Getting

started Regardless of the position you are interested in, the starting points to

building your resume are the same: 1. Determine the job or types of jobs you

want to do and research their responsibilities and qualifications. 2. Think

about why you can do the job and make a list of your skills that are relative to

the job. 3. Identify experiences or accomplishments that show your proficiency

in the skills required for the job. 4. Summarize your abilities, accomplishments

and skills into a brief, concise document. Considerations when writing a resume

• Do be brief. Resumes should be 1-2 pages in length. • Do be upbeat and active

in your wording. • Do emphasize what you have done clearly and concretely. • Do

be neat and well organized. • Do have others proofread and critique your resume.

Spell check. Make it error free. • Do use high quality, white or light colored

8½ x 11 paper. Use a laser printer if possible. • Don't be dishonest, always

tell the truth about yourself in the most flattering light. • Don't include

salary history or requirements. • Don't include references. • Don't include

accomplishments that do not support your professional goals. • Don't include

anything that isn't relevant. (For example, don't mention your fondness for

swimming unless you want to work on the water.) • Don't use italics,

underlining, shadows or other fancy treatments. Seven steps to a successful

interview 1. Anticipate –Put yourself in the interviewer's position. What do you

believe the interviewer is most interested in? Why do you think you have been

invited to interview? 2. Research –What are the primary functions of the line of

business? What are the success factors for the job? Is there a job description

available? 3. Assess –Think about your skills, abilities, knowledge, interests,

traits, values and accomplishments. Match them to what you know about the job.

Consider which ones you should highlight. 4. Prepare Answers –Think about what

the interviewer may ask, determine what the best answer is and write it down. 5.

Prepare Questions – Interviewing is a two-way street. By asking thoughtful

questions, you communicate your interest and learn a lot about the job. Choose

two or three questions to ask your interviewer. Avoid asking a lot of questions

about vacation time or breaks. 6. Practice – It may seem awkward, but it is the

best way to come across well in an interview. Practice your own "great

responses" with others or in front of a mirror until you appear relaxed and at

ease. 7. Follow-up – Send a brief follow-up letter to the interviewer.

Keep in

mind that the many job searchers will not send a follow-up letter. Sending one

can become a competitive advantage. Pay Transparency -

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