Master Data Management Engineer

Job Description:
Key technical leader responsible for creating, orchestrating and maintaining the organization's enterprise-wide data management ecosystem. Designs and implements comprehensive MDM solutions while establishing robust data governance frameworks that ensure data quality and consistency across the organization. Develops and maintains complex data models, schemas, and mappings across multiple systems, as well as creates efficient ETL processes for seamless data integration. Takes charge of implementing and enforcing data governance policies, establishing data stewardship practices, and maintaining detailed data dictionaries and metadata repositories. Configures MDM platforms, develops APIs for data access, and implements sophisticated matching and deduplication solutions. Evaluates current data management practices, identifies and resolves data quality issues, and optimizes data flows for maximum efficiency.

Non-Technical Skills:

Collaborates with various stakeholders, working closely with business teams to understand data requirements and partnering with IT teams for system integration. Serves as a technical mentor, providing guidance on MDM best practices and leading data-related initiatives across the organization. Demonstrates strong communication skills for effective team collaboration. Applies critical problem-solving skills to identify and resolve complex technical issues efficiently.

Education

• Bachelor's degree in Computer Science, Information Systems, or related field
• Master's degree preferred

Technical Skills

• 5 years of experience in data management or related field
• Strong knowledge of MDM concepts, methodologies, and best practices
• Exceptional expertise in SQL and database management systems experience as a database administrator a plus.
• Experience with ETL tools and processes
• Proficiency in data modeling and architecture
• Knowledge of data governance frameworks and standards

Tools & Technologies

• Experience with MDM platforms
• Proficiency in database technologies
• Knowledge of ETL tools
• Familiarity with data quality tools and processes
• Understanding of API development and integration. Experience with Python and RabbitMQ or other messaging architectures a plus.

Working Environment

• Full-time position
• May require occasional evening or weekend work for system updates

Career Growth

• Professional development and certification support
• Mentoring and leadership opportunities report directly to a female CTO who works to develop individual growth plans
• Exposure to emerging technologies and methodologies

The ideal candidate will combine technical expertise with strong business acumen, demonstrating the ability to bridge the gap between technical implementation and business requirements while maintaining high standards for data quality and governance