Enterprise Architect - Advisor (Hybrid)

Company Description

At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to use tech to tackle housing’s biggest challenges and impact the future of the industry. You’ll be a part of an expert team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.

Job Description

As a valued contributor to our team, you will advise team members on the design and processes for implementation of components of technological structures. In this role, you will create solutions with a process-driven view, as well as devise processes for maintaining and/or updating existing structures.

THE IMPACT YOU WILL MAKE
The Enterprise Architecture - Architecture - Advisor role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

• Apply advanced skills, knowledge, and/or experience to lead modeling, analysis, and planning projects.
• Translate functional requirements into technical solutions to meet customer needs by applying advanced skills, knowledge, and experience.
• Maintain existing structures and collaborate with management to define governance processes.
• Perform modeling, analysis, and planning to solve technical business problems and inform the team's technical direction.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences & Skills

• 6+ years of experience leading architecture portfolios, building proofs-of-concept to implement solutions in AWS cloud, and designing data migration pipelines to the cloud using the cloud-native services.
• 2+ years of experience in architecting designs to remediate vulnerabilities and securing applications in the cloud. 
• 2+ years of experience with securing enterprise applications in public cloud service providers, including IaaS, PaaS, and SaaS, and performing application security assessments.
• Understanding of basic networking principles and public cloud networking concepts/patterns.
• Skilled in communication and relationship management with diverse stakeholders, including presenting information in group settings using illustrations, writing, and summarizing ideas.
• 3+ years of experience with architecture supporting analytical & machine learning tools & workloads using Apache Spark, Flink, SageMaker, or equivalent platforms combined with knowledge of distributed data architecture concepts such as sharding, caching, and stream-processing using Kafka or Kinesis to hydrate data lakes.
• 5+ years of experience as an Enterprise or Solution Architect with hands-on development background using Python or Java on the cloud.
• 3+ years of experience designing systems to control, monitor, and manage large, complex, and sometimes geographically dispersed IT infrastructure and applications to optimize IT service delivery. 

Desired Experiences & Skills

• Bachelor's degree or equivalent
• 2+ years of experience in stakeholder and vendor management
• 5+ years of professional experience in Solution/Technical Architecture in the cloud
• 3+ years of experience in implementing technological solutions, architecture designs, innovation in cloud (AWS preferred), hybrid and on-prem environment.
• Experience evaluating and designing controls, conducting impact assessments, identifying control gaps, remediating risk, etc.
• 2+ years of experience in presenting to the architecture review boards.
• Experience working with stakeholders from various teams, such as Product, Business, Technology, and Operations teams, providing architecture support to realize Enterprise's business and IT strategies. 
• 3+ years of working knowledge of relational databases, NoSQL design and deployment and experience with opensource ETL data tools such as Apache Spark, Flink etc.
• 2+ years of working knowledge of DevOps pipeline design, including infrastructure as code, such as Terraform, CI/CD tools, such as Gitlab, and package repositories, such as Artifactory.
• 3+ years of experience in creating visual concepts, creating content, and editing content by hand or with the help of computer software to communicate ideas.
• 1+ years of hands-on experience with Machine Learning tools and technologies.
• 2+ year of experience working with streaming platforms such as Kinesis or Kafka and Containerization technologies such as Docker, Kubernetes or Fargate.
• 3+ years of experience in programming languages such as XML, Python, PySpark Javascript, Java
• 1+ years of experience using Docker or Kub