Master Data Management (MDM) Engineer

Global Data Strategy, Ltd; United States; On-site; USD 110,000 - 160,000; Full time

Job summary

Global Data Strategy, Ltd. seeks a seasoned Master Data Management professional to lead design, implementation, and governance across data domains.

You will own data modeling, hierarchy management, and golden record activities to ensure data accuracy and consistency. Responsibilities include defining data quality rules, survivorship logic, and aligning with cloud/on-prem relational databases, ETL/ELT processes, and API integrations.

Qualifications

• Master Data governance and domain modeling experience.
• Experience implementing MDM across multiple data domains.
• Strong understanding of data quality rules and survivorship.

Responsibilities

• Data modeling (logical, physical) and Hierarchy Management.
• Golden Record Creation – match/merge and survivorship rules.
• Data Quality and Business Rules Definition.
• Experience with ETL/ELT, SOA, and API integrations.

Skills

Master Data design

MDM tooling

Data modeling

Data governance

Tools

Snowflake

Databricks

Profisee MDM

Job description

• Master Data design & implementation – 5-8 years of experience

- Data modeling (logical, physical) and Hierarchy Management

- Golden Record Creation – match/merge and survivorship rules

- Data Quality and Business Rules Definition

• Experience with cloud and on-prem relational databases (Snowflake, Databricks, etc.)


• API integration and customization (SOAP, REST, Java)


• Data Warehouse / Data Lakehouse integration experience (preferred)


• Process and Workflow alignment (preferred)


• Data Governance and Stewardship alignment (preferred)

Technical Skills

• Master Data design & implementation – 5-8 years of experience


• MDM Tool Implementation using Profisee

- Data modeling (logical, physical) and Hierarchy Management

- Golden Record Creation – match/merge and survivorship rules

- Data Quality and Business Rules Definition

• Experience with cloud and on-prem relational databases (Snowflake, Databricks, etc.)


• Data integration (ETL/ELT, SOA, etc.)


• API integration and customization (SOAP, REST, Java)


• Data Warehouse / Data Lakehouse integration experience (preferred)


• Process and Workflow alignment (preferred)


• Data Governance and Stewardship alignment (preferred)

Consulting Skills

• Must be an enthusiastic, self-motivated, team player in an evolving, dynamic environment


• Solution-oriented, with the imagination to identify work-arounds for critical problems.


• Strong communication skills (written & spoken)


• Ability to manage own time effectively, work with key stakeholders, and provide ongoing deliverables with minimal supervision