-
ID
#44294479 -
Job type
Permanent -
Salary
TBD -
Source
Bank Of America -
Date
2022-07-21 -
Deadline
2022-09-19
Platform Engineering Architect - Feature Lead Fixed Income Technology
North Carolina, Charlotte, 28201 Charlotte USAPermanent
Vacancy expired!
Job Description:
Platform Engineering Architect The Data Science and AI Platform Engineering Architect, a critical role in the Global Markets Data Science and AI team, is responsible for design, implementation, and ongoing support of the Data Science/AI GBAM Platform and tools. This involves managing designing and building out the platform, production services, applications, model deployment and platform components that comprise our backend. In this role you have the opportunity to leverage your technical skills in systems management, software development, platform engineering and database skills to provide best- practices and guidance to the new platform we are launching. This role is a highly visible role and will require frequent communication with tech and LOB senior management. This role will be responsible to ensure that the configuration and architecture of the Data Integration & AI/ML solutions developed by various tenants can coexist run smoothly and meet the SLA expectations. Responsibilities- Work closely with Markets Applications Production Services (MAPS) team to manage and optimize Platform and tools (Hadoop, Kudu, Hive, HBase, Impala, Kafka, Data Robot, Selerity, Panopticon, Talend, Trifacta, StreamSets, ELK, Kibana, Tableau etc.) to ensure optimal performance, high availability, scalability and stability
- Design & develop an automated fact-based/data-driven cost recovery mechanism to charge back Tenants
- Understand Line of Business technology requirements to design and implement a scalable and high-performance multi-tenant Data Science and AI Hadoop platform.
- Participate & contribute to sprint planning and prioritization of tasks
- Design and drive the operationalization of Data Science and AI models and advanced analytics through the MDLC (Model Development Life Cycle) framework.
- Drive automation of application and model deployment for production and pre-release environments.
- Implement governance and control framework on the platform in adherence to the firm's AI policy and model/ analytics deployment procedures.
- Design, implement and manage Horizon integration
- Design and implement a robust security and access control framework.
- Define platform monitoring requirements and implement automated incident resolution solutions.
- Quickly and efficiently troubleshoot simple and complex issues in order to provide outstanding support for the user community
- Ensure all necessary operational processes and procedures are carried out with a high level of attention to detail, expediency and on- time delivery.
- Define and document standard run books and operating procedures. Create and maintain system information and architecture diagrams.
- Monitor various systems capacity and health indicators and trends; provide analytics & forecasts for added or reduced capacity as required.
- Mentor the platform engineering team, coach and guide junior team members
- Track software tools and the vendor support lifecycle, assess impacts, plan upgrades and execute upgrades with no/minimum downtime and low impact to tenants
- Must have significant experience in building a multigenerational scalable platform.
- Experience with Cloudera/ Hadoop ecosystem, OpenShift/Docker/Kubernetes container-based platforms
- Experience with AI/ML platforms & tools such as DataRobot, Selerity, Jupyterhub, Notebook solutions, Papermill
- Experience with development, job scheduling tools and languages such as Spark, SparkSQL, Python, PySpark, R, Java, Shell scripts, Autosys, Oozie
- Strong Linux/Unix background and database design/modeling/architecture experience
- Must have significant experience in guiding highly technical teams.
- Must have heavy Hands-on experience, complete tasks quickly and thoroughly, follows-through and is highly dependable
- Proven experience operating in or managing cross functional matrixed organization
- Ability to optimize limited resources to maximize results
- Good partnering skills with CTO, GIS, business, and development partners
- Highly responsible, self-motivated, and able to thrive in an energetic, fast paced, high growth environment.
- Ability to own end to end solution to meet both functional and non-functional requirements
- Extensive technology design and architecture skills
- Cloud Architecture & Migration
- Believes diversity makes us stronger so we can reflect, connect and meet the diverse needs of our clients and employees around the world.
- Is committed to building a workplace where every employee is welcomed and given the support and resources to perform their jobs successfully.
- Wants to be a great place for people to work and strives to create an environment where all employees have the opportunity to achieve their goals.
- Provides continuous training and development opportunities to help employees achieve their career goals, whatever their background or experience.
- Is committed to advancing our tools, technology, and ways of working to better serve our clients and their evolving business needs.
- Believes in responsible growth and is dedicated to supporting our communities by connecting them to the lending, investing and giving them what they need to remain vibrant and vital.
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