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Data Architect

Jnit Technologies

This is a Full-time position in Dallas, TX posted March 1, 2021.

nn Role: Data Architect nn nn Location: Dallas, TX nn nn Duration: Long term nn nn Visa: and GC nn nn nn nn nn nn Job Description: nn nn nn Designs strategic data solutions with current and emerging technologies partnering with enterprise architect.

Responsible for introducing new technologies and conducting POC.

Creates and Owns Information architecture, data strategy implementation.

Participates in the review of data strategy, risk assessment and roadmap.

Facilitate and maintain enterprise information architecture for unified access to structured and unstructured data across multiple data sources.

Design and implement data solutions using Master Data Management principles and tools.

Partner with leaders and team members across the business/Tech.

to design and institute practices that will drive the appropriate levels of rigor and quality in enterprise information architecture.

Define processes for the effective, integrated introduction of new data.

Ability to think through multiple alternatives and select the best possible solutions to solve tactical and strategic business needs.

Responsible for implementing information security guidelines across data architecture.

Works with project management and other architects to provide work estimates and ensure timely delivery of the data solution.

Works with business users to gather, document and seek approval of business requirements.

Responsible for supporting audits and resolution of identified risk.

Define/test/Implement and optimize data architecture framework.

Seeks design approval from data architecture team and from architecture review board.

Maintains review documents and approval information.

Mentors senior and junior architects as business and technical SME.

Provides work status to management.

nn nn nn nn nn Qualifications/Skills Required nn nn nn nn Technical: nn Minimum of 15 years work experience in data discipline.

Hands on expertise in leading definition, design, and deployment planning of data management strategies.

Developing and implementing data framework, reference models, data modeling (operational and analytical).

Knowledge of and/or experience in using maturity models, ISO standards involving data, and the ITIL services concept.

Good grasp of current and emerging technologies for data storage, data management, data transformation, data quality, and analytics.

Understand business systems analysis, and process and data artifacts within an enterprise architecture framework, such as TOGAF.

Hands on experience on multiple data technologies such as relational Databases, Data replication, Data Integration, Reporting and data governance tools with a strong emphasis on databases.

Experience in implementing information security and data access control across all forms of data stores (RDBMS, Unstructured, File Stores etc.).

Experience/ Knowledge of encryption and key management systems.

Hands on expertise in data modeling for operational, warehouse, master data management and analytical reporting system.

Experienced in conceptual, logical and physical modeling using Erwin or similar tools.

Can develop MS office automation code.

Experience implementing master data management techniques for sharing reference data.

Expertise in designing solution for structured and unstructured data (JSON, XML) and working knowledge of data streaming platforms.

Very Good understanding of underlying hardware architecture (process and storage) used by data stores (RDBMS and non RDBMS).

nn nn nn Non-Technical: nn 5 or more years of financial services industry experience with very good understanding of cross domain business processes.

Ability to develop technical proposals and seek approval.

Ability to articulate complex technical scenarios to senior executives and decision makers.

Excellent Influencing and partnership building, presentation, oral and written communication skills.

Must have the ability to create ideas and champion across wide audience.

Experience in working in a team-oriented, multi-cultural, collaborative environment.Ability to create POC framework, evaluate and recommend data technologies.

nn nn nn Desired Skills: nn nn nn Experience in consulting.

Data Center operation expertise/knowledge.

Vendor Management experience.

Familiar/Experience with concepts such as CICD, containerization, event driven micro services architecture, Integration at application and database level.

– provided by Dice

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