Bank of America
Solution Architect - Data Analytics & Platform Services
Bank of America, Charlotte, North Carolina, United States, 28245
Solution Architect - Data Analytics & Platform ServicesJob Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.
Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!
Responsibilities:
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.
Creates the technology strategy for a respective technical domain, aligning execution with product strategy by working with Product Managers, Product team members, and other stakeholders.
Design and architect robust data warehouse solutions that support complex analytical workloads.
Lead the evaluation and selection of big data technologies, tools, and frameworks.
Develop data models, ETL processes, and data pipelines to ingest, transform, and load data efficiently.
Collaborate with cross-functional teams to gather requirements and translate them into architectural designs.
Ensure data quality, integrity, and security across all data platforms.
Optimize performance of existing data processes and warehouse architecture.
Mentor and guide junior architects and data engineers, promoting best practices in data architecture.
Stay current with industry trends and emerging technologies in big data and data warehousing.
Provide thought leadership in big data strategy and execution.
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: Data bricks, Snowflake, Big Query, Watson X, Starburst / Trion.
Experience in multiple programming disciplines including Java, Python, and Scripting Languages.
Deep understanding of Virtualized 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 principles, 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:
Business support/Management.
Project Management.
Scrum Master.
Skills:
Linux.
Python.
PostgreSQL.
Ansible in a secure environment.
Agile.
JIRA.
Shift:
1st shift (United States of America)
Hours Per Week:
40
#J-18808-Ljbffr
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.
Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!
Responsibilities:
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.
Creates the technology strategy for a respective technical domain, aligning execution with product strategy by working with Product Managers, Product team members, and other stakeholders.
Design and architect robust data warehouse solutions that support complex analytical workloads.
Lead the evaluation and selection of big data technologies, tools, and frameworks.
Develop data models, ETL processes, and data pipelines to ingest, transform, and load data efficiently.
Collaborate with cross-functional teams to gather requirements and translate them into architectural designs.
Ensure data quality, integrity, and security across all data platforms.
Optimize performance of existing data processes and warehouse architecture.
Mentor and guide junior architects and data engineers, promoting best practices in data architecture.
Stay current with industry trends and emerging technologies in big data and data warehousing.
Provide thought leadership in big data strategy and execution.
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: Data bricks, Snowflake, Big Query, Watson X, Starburst / Trion.
Experience in multiple programming disciplines including Java, Python, and Scripting Languages.
Deep understanding of Virtualized 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 principles, 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:
Business support/Management.
Project Management.
Scrum Master.
Skills:
Linux.
Python.
PostgreSQL.
Ansible in a secure environment.
Agile.
JIRA.
Shift:
1st shift (United States of America)
Hours Per Week:
40
#J-18808-Ljbffr