Senior Data Architect: MDM, Governance & Warehouse

Blockchain Technologies. LLC; Dallas (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

A data management firm in Dallas is seeking an experienced Data Architect to lead policies and procedures for Data Governance and Master Data Management. The role involves collaboration with various teams to ensure data transformations align with best practices and driving MDM tool implementation. Candidates should possess over 5 years of experience in Data Architecture, Solution Architecture, MDM, and Data Governance, with strong knowledge in data processing. This is an excellent opportunity to influence data strategy in a growing organization.

Qualifications

• 5+ years of Data Architecture experience, including OLTP, Data Warehouse, Big Data.
• 5+ years of Solution Architecture experience.
• 5+ years of MDM experience.
• 5+ years of Data Governance experience, working knowledge of best practices.
• Extensive knowledge of data movement and processing.

Responsibilities

• Establish policies regarding Data Governance.
• Ensure data decisions adhere to best practices.
• Maintain Data Standardization definitions.
• Collaborate with ETL and DBA teams.
• Mentor Data Architects and Analysts.
• Assist in architectural solutions for data.
• Create a roadmap for MDM implementation.
• Implement a Master Data Management tool.

Skills

Data Architecture experience

Solution Architecture experience

MDM experience

Data Governance experience

Knowledge of Data Movement and Processing

Self-Motivated

Presentation skills

Job description

A data management firm in Dallas is seeking an experienced Data Architect to lead policies and procedures for Data Governance and Master Data Management. The role involves collaboration with various teams to ensure data transformations align with best practices and driving MDM tool implementation. Candidates should possess over 5 years of experience in Data Architecture, Solution Architecture, MDM, and Data Governance, with strong knowledge in data processing. This is an excellent opportunity to influence data strategy in a growing organization.