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Addison, United States of America

Principal Cloud Data Architect - Channels Data Platforms and Analytics.

STAFF LEVELDATA & ML
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 Cloud Data Architect 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 Cloud Data Architect 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 - https://careers.bankofamerica.com/en-us/pay-transparency Privacy Statement - https://careers.bankofamerica.com/en-us/privacy-notice
Pay
Not stated
Where
Addison, United States of America
Work
Not stated
Type
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Posted
23 Oct, 2026
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