Senior Architect

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 Senior Architect will be responsible for architecture, design and implementation of Strategic Data Initiatives with enterprise scope. Responsibilities include leading data initiatives, implementation of platform capabilities, building of Modern Data Platform with integrated eco system of Advanced Analytics, AI and Modeling capabilities for on-prem and cloud. Aids in developing a data technology strategy that enables broader data use for various reporting, analytics and insight generation. This role advocates and advances modern, agile solution delivery practices and evangelizes open, modular design standards and engineering practices. Senior architect works closely with enterprise architecture, platform architecture, information governance teams to design an end-to-end data solution, document requirements and, when needed, define end user proofs of concept to test the designs, usage models and corresponding technologies in testbed or real end user environments. They also work with business partners and technology partners on pilots and adoption plans.

Responsibilities:

• Works across the business, operations and technology to create the solution intent and architectural vision for complex solutions and prioritize functional and non-functional requirements into a technology backlog to enable the technology roadmap and functionality to support evolving capabilities and services
• Contributes to the creation of the architecture roadmap of defined domains (Business, Application, Data, and Technology) in support of the product roadmap and the development of best practices including standardized templates
• Clarifies the architecture, assists with system design to support implementation, and provides solution options to resolve any architectural impediments
• Facilitates solution driven discussions, leads the design of complex architectures, and finds creative solutions through knowledge of domain, practical experiments, and proof of concepts while ensuring architecture is flexible, modular, and adaptable
• Educates team members on the technology practices, standardization strategies, and best practices to create innovative solutions
• Supports the team as needed to select the technology stack required for solutions and helps select preferred technology products
• Performs design and code reviews to ensure all non-functional requirements are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability)
• Responsible for understanding emerging and evolving end user usage models and requirements in Big Data and Analytics, documenting those usage models and business, technical and user requirements and designing solutions to meet those requirements and specifying an implementation HW and SW solution stack that works seamlessly OnPrem and Cloud and enables self-service capabilities for technical and line of business users.

Required Qualifications:

• 8+ years of technical architecture and solutions experience including 5+ years of in a combination of relevant Big Data, Analytics and AI/ML areas
• 6+ years of hands-on experience in software development and/or data engineering.
• Experience building E2E Advanced Analytics and Big Data Platform that enables reporting, real-time analytics, and insight generation using AI/ ML techniques. Extensive
• Experience in Platform Architecture, Solution Design, Development and Deployment
• Deep platform level understanding and 5+ years’ experience with Big Data technologies including Hadoop, Impala, HIVE, Spark and NoSQL. Prior experience with Analytics and Machine Learning tools and technologies. (Anaconda, Python, R Studio, SAS)
• Hands-on experience in designing, developing, and maintaining software frameworks using Kafka, Spark, Hadoop/MR, Spark Streaming, Python, etc.
• Demonstrated experience in real world IT or other solutions environments including creating (on your own or with a team) a product or IT solution in the area of Big Data & AI Analytics
• Strong verbal and written communication skills, experienced in interacting with both technologists and business representatives. Comfortable representing company in industry standards organizations and/or industry technical forums.
• Strong technical team leadership and mentoring skills, highly collaborative with cross domain stakeholders. Ability to develop technical relationships with LOB Partners, Platform Architecture, Information Management, Security and Development teams.
• Deep Knowledge of Data Management & Governance principles, including metadata management, data lineage, data privacy & protection methodologies.

Desired Qualifications:

• Underlying infrastructure for Big Data Solutions (Clustered/Distributed Computing, Storage, Data Center Networking)
• Cloud and AI/ ML Modeling technologies and Industry vertical application for Big Data/Analytics
• Strong understanding of OOP programming and architecture in either Java or Python. Experience designing, building and operating cloud services in IT, Systems Integrator or Service Provider.
• Experience designing and building full stack solutions utilizing distributed computing or multi-node database paradigms. Well versed with processing and deployment technologies such YARN, kubernetes/containers and serverless. Hands one experience on Java, Scala or Python
• Expert level experience in performance engineering and managing large data platform that serve hundreds of peta bytes of data and thousands of tenants. Design effective proactive monitoring solutions and tests to ensure platform stability, resilience, and performance. Ensure non-functional requirements for performance (CPU usage, latency).  
• ​MS in Computer Science or related field

Skills:

• Analytical Thinking
• Architecture
• Result Orientation
• Solution Design
• Technical Strategy Development
• Application Development
• Collaboration
• Data Management
• DevOps Practices
• Risk Management
• Agile Practices
• Automation
• Influence
• Solution Delivery Process
• Test Engineering

Shift:

Hours Per Week: