Enterprise Architect

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Job Description – 

• This position is part of Enterprise Data Organization under Corporate IT and closely works with Enterprise Architects. They involve designing Architectural cloud framework on Azure platform and also working building/integrating Data model by leveraging Modern Architecture framework with Snowflake 
• In-depth understanding of database structure for both dimensional as well transaction-based modeling including data mining
• Experience gathering and analyzing Data requirements, design, development, and implementation of application components.
• Extensive experience in database and analytical technologies in the industry including  Data Warehouse design, BI reporting, Dashboard development, and NoSQL storage and ETL/ELT process development provide design solutions for application integration projects from RDBMS to cloud migration, ETL solutions, and business intelligence layer creation.
• Write dynamic SQL queries based on project stories and review the code of the other developers for ongoing change requests.
• Work with software development partners, solution architects to identify and mitigate security vulnerabilities in applications.
• Perform application security retesting to ascertain remediation of previously determined vulnerabilities. 

• 7-10 years of experience supporting data engineering activities including data architecture development and maintenance, data modeling, data governance, data migration, and data dictionary design.
• Demonstrated experience with enterprise architecture and data modeling tools like ERwin.

Qualifications – 

• 7-10 years of professional experience as a Data Architect, Data Engineer or related role developing conceptual, logical, and preliminary physical models for an enterprise.
• Experience in handling PII information and defining strategies that follow Data Privacy guidelines. (We anticipate some applications gathering PII Data)
• Strong preference in candidates who can build data models using technology-agnostic approaches and dynamic data reporting and visualization goals
• Excellent SQL and strong hands-on scripting  programming languages like Python, SQL, and Cloud technologies
• Extensive experience in developing and using data standards comprising the format, representation, definition, structuring, manipulation, tagging, transmission, use, and management of data
• Experience developing and using metadata guidelines to tag data and use the tags as part of a data management strategy
• Experience assessing data solutions for compliance and conformance with guidelines and policies
• Understanding of the use and maintenance of data dictionaries, data models, and data maps in an enterprise business software environment
• Provide leadership for complex projects throughout the development of project work plans, milestone tracking, and coordination of efforts
• Excellent organizational and analytical abilities, and able to compile and organize  information retrieved and present findings to management
• Experience or exposure  with data visualization tools (e.g. Tableau and R)
• Knowledge of data mining and segmentation techniques
• Proficiency in MS Excel
• Problem-solving attitude
• Minimum Bachelor's degree (STEM), STEM is not a mandatory

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