Job Description :
Client Name : DISYS
Job Title : Enterprise Data Architect
City : Reston, VA
Duration : Long term

Job Description :

Job Description:

Specialized Knowledge & Skills

Should have good techno-functional knowledge in core Financial Management Suite (GL/ AR/AP/Billing/Asset management etc) & Financial Reporting domains

Should have solution design capabilities to reengineer business processes, ERP and packaged application fit/gap analysis addressing critical business challenges typical to the domain

Should have implementation experience with SaaS solutions in the financial accounting and reporting domains

Should have strong architecting experience with AWS managed cloud services such as S3, EMR, Glue, RedShift etc. is considered essential

Should have proven track record of identifying target state architecture & business benefits, architecting & presenting solution options, guiding solution implementation to achieve target goals

Should be experienced in architecture blue print developments, and architecture development for agile implementations

Should have proven ability to build productive relationships and accustomed to communicate to people at different levels

Should be experienced in coaching and mentoring senior architects

Ability to interact, build working relationship with stakeholders to develop an architecture strategy, processes and deliver IT assets to meet the business objectives

experienced in driving the Enterprise Architecture strategy, methodology and standards that delivers enterprise data model, associated meta model, common business vocabulary and taxonomies

Strong understanding of SOA concepts, Design Patterns, tools, techniques and best practices

Hands on experience in applying advanced Data Architecture/Design concepts such as Datawarehouse, Datamart, Data Virtualization, Data Lake, Big Data, Logical Datawarehouse

Hands on experience in applying advanced Enterprise Architecture/Design concepts such as Cloud Computing, Microservices, 12 Factor Application development

In depth knowledge of Advanced Analytics concepts/ Data Science - exposure to applying machine learning/statistical models on large/enterprise-grade data is a plus while not mandatory

TOGAF or an equivalent architecture framework certification is preferred

AWS or Cloud based Architecture/equivalent certification is preferred

Working experience with solution architecture around business and corporate finance applications is a plus while not mandatory

Desired Skills

Design & Development (Enterprise-grade applications) encompassing backend Design Patterns, APIs, Cloud Adoption, Security framework, ETL, Reporting and Relational data stores

Excellent verbal and written communication skills

Ability to communicate across diverse audience of business analysts, architects, business users, technical project staff, senior leadership across business and technology

Demonstrate ability to influence others and advocate point of view when appropriate

Ability to work in a teaming environment; strong organization, leadership and interpersonal skills