Hadoop Solutions Architect
Bank of America
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!
Job Description:
This job is responsible for defining an architectural vision and solution that supports the strategic outcomes of the Business' Products and Services. Key responsibilities include defining the target operating environment, designing for client resiliency, assisting with solution design, and defining non-functional requirements. Job expectations include working with stakeholders and service providers aligned to the Business' strategic objectives, evaluating the impact of strategic design decisions, and contributing to the architecture roadmap.
Position Summary:
We strive to build fault tolerant design patterns that support zero to minimal downtime in support of distributed platforms, complex compute environments, and Cloud technologies in pursuit of creating best in class big data ecosystems. They must be able to work with end users, stakeholders, executives, system administrators, and vendors to help deploy those solutions from POC to Production.
Responsibilities:
- 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
- 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
- Manages relationships with business and technology leaders and vendors for technical products and creates an inclusive and healthy working environment to resolve organizational impediments and blockers.
- Design and develop scalable, high-performance data architectures leveraging Hadoop and Teradata platforms to meet business intelligence and analytics requirements.
- Lead and mentor a team of platform architects and engineers, fostering a collaborative environment to deliver innovative solutions.
- Oversee the end-to-end implementation of platform solutions, ensuring alignment with business objectives and adherence to best practices.
- Conduct performance tuning and optimization of data platforms to ensure efficient data processing and retrieval.
- Stay abreast of industry trends and emerging technologies to continuously evolve the data architecture strategy.
Required Qualifications:
- BS in Computer Science, information Technology or related field.
- 5+ years of technical solutions experience including 3+ years in relevant enterprise data platforms and processing on Hadoop, Teradata, and Data Transformation Products
- Enterprise Business Intelligence and Analytics.
- Varied data processing engines and strategies: Databricks, Snowflake, Big Query, Watson X, Starburst / Trino
- Experience in multiple programming disciplines including Java, Python, and Scripting Languages.
- Deep understanding Virtualize and Containerized platforms: Openshift, Kubernetes, docker, VMware
- Understanding of storage and data replication platforms: CEPH, Cirata, Ozone, MinIO, Kudu, HDFS
- Understanding of Network and Security principals, Creating designs that adhere to Security Baselines
- Understanding of Cloud architectures including IaaS, PaaS, SaaS, compute, storage, network, and security solutions that run on large Cloud service providers (Azure, Google, AWS).
- Ability to work independently and lead a project team
Desired Qualifications:
- Linux
- Python
- PostgreSQL
- Ansible in a secure environment
- Agile
- JIRA
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:
1st shift (United States of America)Hours Per Week:
40