Full-Time

Principal Cloud Data Architect

Channels Data Platforms and Analytics

Bank of America

Bank of America

10,001+ employees

Global banking, investing, and wealth management

Compensation Overview

$156.5k - $230k/yr

+ Annual discretionary incentive

Charlotte, NC, USA + 2 more

More locations: Jersey City, NJ, USA | Addison, TX, USA

Remote

In-office attendance is required based on role-specific requirements.

Category
Data & Analytics (1)
Required Skills
Kubernetes
Microsoft Azure
Python
Grafana
OpenShift
Git
Apache Spark
SQL
Machine Learning
Apache Kafka
Java
Postgres
ETL
Mainframe Computing
Docker
Microservices
Risk Management
Scala
Jenkins
Terraform
AppDynamics
Observability
Collibra
REST APIs
Hadoop
Informatica
DevOps
Splunk
Oracle
Databricks
Snowflake

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Requirements
  • 12+ years of experience in data or software engineering, including 8+ years designing enterprise data platforms or large distributed architectures.
  • Demonstrated leadership in cloud modernization, including Azure, Databricks with Spark and Delta, Snowflake, and Kafka or Event Hubs.
  • Strong experience modernizing legacy systems, including Informatica ETL, Hadoop or big data systems, and mainframe workloads such as batch pipelines and reporting interfaces.
  • Deep expertise in non-functional-requirements-driven design, including resiliency, security, performance, scalability, observability, and operational excellence.
  • Strong proficiency in SQL and Python; Scala or Java is a plus.
  • Ability to influence senior leaders, drive enterprise alignment, and deliver outcomes in highly regulated environments.
  • Ability to translate complex engineering concepts for executive, business, and technical audiences.
  • Experience with microservices, containers such as Kubernetes or OpenShift, API gateways, and integration patterns.
Responsibilities
  • 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 the transformation from Informatica, on-premises databases, Hadoop, and mainframe-based reporting into cloud-native architectures.
  • Define migration paths for mainframe jobs, batch interfaces, and legacy ledger or reporting logic into scalable modern architectures.
  • Implement continuous integration and continuous delivery for data, infrastructure as code using Terraform or Bicep, observability using logs, metrics, and traces, and cost or performance governance.
  • Ensure platform resiliency, scalability, and operational readiness, including high availability and disaster recovery, autoscaling, performance tuning, and traffic management.
  • Provide end-to-end architectural oversight for Payment Tracker, including user interfaces, APIs or 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 non-functional requirements for performance, security, maintainability, and reliability, with integrated monitoring and alerting for application and data services.
  • Lead design and code reviews, resolve architectural blockers, and 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 research and development for the data and analytics portfolio by evaluating emerging tools, running proofs of concept and pilots, benchmarking performance, publishing decision records, and setting technology adoption standards.
  • Develop the engineering approach for the entire program or portfolio solution and work with Architecture to deliver technical enablers.
  • Lead the planning, definition, and design of complex features spanning multiple teams and explore solution alternatives.
  • Lead technical oversight for teams in solution development, including domain design reviews and code reviews.
  • Define the technology tool stack for the solution within internally approved and supported technologies.
  • Explore state-of-the-art technologies to improve development efficiency, quality of test and quality-assurance coverage, and release management.
  • Lead and own the end-to-end test strategy, creation, adherence, and integration between teams for a program or portfolio solution.
Desired Qualifications
  • Experience in payments, Channels, CashPro, or analytics-driven applications.
  • Knowledge of semantic layers such as dbt and LookML, data quality frameworks such as Great Expectations and Deequ, and data governance tools such as Purview and Collibra.
  • FinOps experience with cost optimization for cloud data workloads.
  • Advanced understanding of streaming, event-driven architectures, and machine learning or artificial intelligence integration.

Bank of America provides a full range of financial services to individuals, small businesses, and large corporations, including banking, investing, asset management, and risk management products. Customers access services via branches, online and mobile banking, and advisory and trading capabilities across consumer banking, wealth management, corporate and investment banking. Its breadth, scale, and global reach enable cross-service solutions and large-scale operations that few peers match. Its goal is to be a trusted, full-service financial partner helping customers manage money, grow assets, and navigate risk.

Company Size

10,001+

Company Stage

IPO

Headquarters

Charlotte, North Carolina

Founded

1904

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 2026 revenue rose 15% to $31.56 billion, with EPS beating estimates.
  • Investment banking fees jumped 50% and trading revenue rose 33% in Q2 2026.
  • Management raised 2026 net interest income guidance to the upper end of 6%-8%.

What critics are saying

  • BofA still faces Epstein settlement scrutiny; final approval hearing is scheduled August 27, 2026.
  • June 24, 2026 Elma, New York closure cut 170 jobs and triggered WARN scrutiny.
  • Indian Jio Credit ownership hinges on regulators, delaying capital deployment and integration until 2027.

What makes Bank of America unique

  • BAC pairs 56 million U.S. consumer relationships with global corporate and trading depth.
  • BofA's August 2026 $250 billion infrastructure initiative targets AI data centers and power.
  • The August 2026 Jio Credit deal gives BofA direct access to India's digital lending market.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Paid Vacation

Paid Sick Leave

Flexible Work Hours

Remote Work Options

Professional Development Budget

Conference Attendance Budget

Growth & Insights and Company News

Headcount

6 month growth

-6%

1 year growth

-6%

2 year growth

-6%
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Wall Street's biggest banks pour billions into AI with mixed results on returns

Wall Street's largest banks are investing billions in AI, though questions persist about returns on these massive expenditures. JPMorgan leads with a nearly $20 billion annual technology budget, claiming its $2 billion AI investment has already matched costs in savings. The bank tracks how its engineers use AI tools and has deployed its proprietary platform to over 200,000 employees. Goldman Sachs spent $6 billion on technology this year, whilst announcing AI-driven efficiency measures that will slow hiring and reduce some roles. Citigroup takes a bottom-up approach with 4,000 employees trained as AI stewards, reporting nearly 90% staff usage of AI tools. Wells Fargo and Bank of America are also deploying AI across operations, from wealth advisory to code development. Morgan Stanley's partnership with OpenAI saved developers over 280,000 hours in the first half of last year. Despite widespread adoption, JPMorgan CEO Jamie Dimon noted banks don't "uniquely benefit from AI" since everyone now uses it.

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Bank of America has cut Applied Materials' price target to $650 from $720 while maintaining a Buy rating. The adjustment follows the semiconductor equipment maker's record fiscal third quarter, which saw revenue rise 25% year-over-year to $9.12 billion and non-GAAP EPS jump 41% to $3.50. BofA reduced its valuation multiple to 27 times estimated 2028 earnings from 36 times previously, citing slower sequential growth relative to competitor Lam Research and flat margin guidance. Applied's quarterly guidance implies roughly 13% sequential growth versus about 20% for Lam. Despite the lower target, BofA raised its EPS estimates for 2026, 2027, and 2028 by 8%, 15%, and 22%, respectively. The bank highlighted strong AI-driven demand in DRAM and advanced packaging as key growth drivers.

GenomeWeb
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Illumina secures $1B credit facility with Bank of America, launches note offering

Illumina has entered into a $1 billion credit facility with Bank of America serving as administrative agent. The genomics company announced the agreement after market close on Thursday. The credit facility also includes an underwriting agreement for a note offering, though specific terms were not disclosed in the announcement.

Yahoo Finance
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Bank of America strategists, led by Michael Hartnett, predict a stock rally if Republicans retain the Senate and Greg Abbott wins re-election as Texas governor in the upcoming midterm elections. The team views a strong showing for President Donald Trump's party on 3 November as particularly positive for AI stocks, with Hartnett saying markets would "rip into bubbly 2027". However, a Democratic Senate win and Abbott's defeat could trigger a stock slump exceeding 10%, alongside declining dollar and bond yields. The strategists cite the Texas gubernatorial race as a "referendum on affordability versus AI data centres", noting Abbott's temporary pause on data centre expansion reflects concerns over energy costs. Tech stocks have driven the S&P 500 to record highs, with profit growth tracking 32% versus the 23% projected earlier.