Job Details

ID #17334961
State West Virginia
City Herndon
Job type Full-time
Salary USD TBD TBD
Source Fannie Mae
Showed 2021-07-26
Date 2021-07-26
Deadline 2021-09-24
Category Et cetera
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Enterprise Architecture - Architecture - Advisor

West Virginia, Herndon, 24726 Herndon USA

Vacancy expired!

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 MAKEThe 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:

  • As an Advisor, you will be responsible for leading architectural decisions for the Cloud, and Data Enterprise Portfolios.
  • A successful candidate must have a deep understanding of technical architecture and have implemented solutions in a cloud environment. Knowledge of industry best practices around enterprise data strategy, architectures, and patterns.

Experience with micro-services architectures and cloud migration for data.

  • The Advisorwill also need to have experience implementing Technical/Deployment Architectures in the AWS Services as well as experience with Engineering Tools and capabilities in order to solve for inter-service communication, data hydration, application security, platform resiliency etc. Strong interpersonal communications skill is required.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

  • 6 years

Desired Experiences

  • Bachelor degree or equivalent
  • 12+ years of progressive experience in solution architecture, systems architecture and engineering, analysis and applications programming required
  • Expertise in implementing complex full stack solutions including API, Micro-Services, Streaming etc. in large Enterprise Data organizations
  • Good understanding of Machine Learning – Statistical & Predictive Modeling, Data Analytics, Business Intelligence, Text Mining and AI/ NLP concepts
  • Experience in defining and implementing data strategies that encompass data integration, movement and transformation logic at an enterprise-level
  • Good understanding of Data Modeling concepts/industry standards – including the canonical data exchange standards
  • Hands on experience leveraging object-oriented design patterns and domain driven design principles
  • Proficient with REST standards and best practices and hands-on experience in developing RESTful APIs
  • Familiarity with Planning, Design, Road maps, POC implementations for AWS Cloud technologies.
  • Familiarity with leveraging Amazon ECS, EKS and Fargate services
  • Good understanding of Amazon Managed Services such as Redshift, PostgreSQL RDS/Aurora
  • Working knowledge of EMR, Redshift, S3 Athena, Apache Spark framework and using Python, or R.
  • Expertise in designing solution architecture with a view towards resiliency, availability and very comfortable in designing Failover and Recovery strategies
  • In-depth knowledge of Data Warehouse & Operational Data Store Architecture & Methodologies
  • Hands-on experience with Designing & Implementing Data Lakes and Data Science platforms
  • Hands-on experience in architecting and deploying enterprise-scale Statistical Machine Learning, Data Mining frameworks, and Data visualizations/BI platforms
  • Good understanding of AWS security frameworks – hands-on experience in architecting complex/enterprise-scale capabilities that manifest a strong data security controls that conform to NIST (or equivalent) framework
  • Familiarity with maintaining ACL, Security Groups and firewall configurations.
  • Should have developed sharing strategies for future scaling and performance.
  • Should have a Bachelor’s degree in Computer Science or related field. Master’s degree is preferred.
  • AWS Certifications will be preferred

Skills

  • Experience gathering accurate information to explain concepts and answer critical questions.
  • Skilled in cloud technologies and cloud computing.
  • Influencing including negotiating, persuading others, facilitating meetings, and resolving conflict.
  • Skilled in supporting, controlling, monitoring, and management of large, complex, and sometimes geographically-dispersed IT infrastructure and applications in order to optimize IT service delivery.
  • Ability to frame ideas as systems and analyzing the inputs, outputs, and process.
  • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere.
  • Relationship Management including managing and engaging stakeholders, customers, and vendors, building relationship networks, contracting, etc.
  • Experience identifying and selecting strategic options, and identifying resources to meet the defined objectives.
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal.

Tools

  • Skilled in Java
  • Skilled in using PowerShell to automate tasks that manage Microsoft operating systems and processes
  • Skilled in Kubernetes to automate application deployment, scaling, and management
  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
  • Skilled in HOPEX
  • Skilled in using Enterprise Architect
  • Experience using VMWare
  • Skilled in Docker
  • Skilled in ServiceNow to manage digital workflows
  • Skilled in using virtualization software such as Microsoft Hyper-V, VMWare vSphere, or Citrix XenDesktop
  • Experience using JIRA
  • Skilled in LDAP (Lightweight Directory Access Protocol)
  • Experience using APIs for developing or programming software
  • Skilled in using storage software such as NetApp, Nimble, and Pure Storage
  • Skilled in Python object-oriented programming
  • Skilled in Jenkins

Additional Information

Job REF ID: REF6487C

The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.

Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at [emailprotected]

Vacancy expired!

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