Cloud Data Engineer

Atlanta, GA, United States

Job Description:

About Us

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!

Enterprise Cloud Platforms:

Enterprise Cloud Platforms team in the CTI organization offers Private and Public Cloud platforms for Bank of America's developers to drive faster time-to-market, innovation with private and public cloud capabilities, and reduce complexity with bult-in integrations. We believe in high quality engineering culture to engineer our platforms with customer and platform mindset, design for large enterprise scale and resilience, and accelerate market innovation into the technical platforms we deliver.

As part of this team, you will have a large impact on the evolution of next generation Cloud services for Bank of America and explore an extensive list of new technologies that will drive innovation across our company.

Position Summary:

This individual in Data Engineer role is responsible for tool and service designs within a technical domain that enable business strategies in accordance with architectural governance, standards, and policies. The role facilitates design and deployment of cloud data analytics solutions by developing templates, playbooks and automation used during implementation. They consistently look for opportunities to improve the reliability and efficiency when implementing and maintaining infrastructure tools and/or services. This individual embraces a culture that drives innovation and continuous improvement.

Responsibilities:

Write data cloud infrastructure as code automation using tools such as Terraform.

Design and develop public cloud landing zones automation to build core cloud foundational data services.

Develop cloud data services provisioning automation with integrated capabilities of IAM, network, security policies as code, and observability.

Implement built-in resiliency, observability, and enable FinOps as a part of infrastructure automation to enable cloud IaaS and PaaS services

Develop and maintain cloud data services catalog.

Develop IaC and CI/CD pipelines to build the cloud data platform and data pipelines.

Collaborate with technical product management and operations, to deliver the engineering roadmap following the agile model.

Lead development of data products catalogue and cloud native data patterns

Partner with Information Security teams to engineer secure app patterns into cloud platforms.

Assist in translating business requirements into technical definitions, reference models, blueprints, and playbooks for deployment in compliance with architecture standards and policies.

Design and Develop solutions using cloud Data Services to solve common data patterns.

Assist technical Analysts and Infrastructure Engineers by ensuring that technology solutions comply with enterprise system design and engineering standards.

Promote an inclusive and healthy working environment and help to resolve organizational impediments/blockers

Required Skills:

Minimum of 8+ years of overall IT experience

Minimum of a 4-year degree in Computer Science or a related discipline.

Minimum 3+ years of Cloud Data Engineer working experience

Experience in landing zones, cloud-native security, monitoring and logging tools, and Well-Architected Data frame Framework principals (Data Mesh)

Implementation expertise in Azure data analytics technologies including Azure Data Factory, Azure Data Lake, Azure Databricks. Microsoft Purview and Power BI

Strong knowledge on Big Data architecture, ETL and other data processing architectures.

Significant experience writing Hashicorp Terraform configurations and modules.

Experience in DevOps and GitOps models with infra-as-code, config-as-code, policy-as-code, etc.

Proficient in translating designs into fully developed Terraform code.

Strong knowledge of Microsoft Azure Cloud, certification preferred. AWS and GCP desirable.

Solid understanding of cloud networking concepts, subnets, routing, load balancing, firewalls, and cloud security.

Experience in enterprise-scale environments, building highly available IaaS and PaaS solutions

Experience in programming and infra-automation tools – Terraform, Ansible, Java, python, etc.

Experience in Cloud logging, monitoring, and observability tools

Proficient in at least one scripting language (i.e., Bash, Python).

Strong analytical, problem solving and organizational skills.

Excellent leadership and communication skills.

Excellent collaboration skills and ability to work in a global team.

Desired Skills:

Experience in financial services industry.

Experience on technology and infrastructure teams.

Experience in data governance, compliance and data controls design and implementation

Shift:

1st shift (United States of America) Hours Per Week:

40