This is a Fully Remote Job
About Our Client:
The organization operates in the data management and technology sector, addressing the challenge of maintaining accurate, consistent, and governed master data across multiple systems such as ERP, CRM, and data warehouses. It focuses on creating automated pipelines that transform raw operational data into machine-readable master data, ensuring data quality and alignment across various business units.
About the Opportunity:
The MASTER DATA ENGINEER role is responsible for ensuring the integrity and governance of core master data by designing, building, and maintaining automated data pipelines. This position directly impacts the organization's ability to manage clean, de-duplicated, and well-documented master data, supporting aligned data definitions and informed decision-making across departments.
Responsibilities:
Design, build, and maintain automated data pipelines consolidating master data across ERP, CRM, and data warehouse systems.
Serve as the primary engineer and steward of key master data domains such as customer, item/equipment, vendor, and location.
Define and enforce formal data ontology, standards, naming conventions, and business rules through automated validation within pipelines.
Collaborate with data architecture teams to model business concepts and entity relationships.
Lead recurring data quality audits and develop automated profiling and reconciliation jobs.
Manage intake and approval workflows for master data record changes as governed, auditable processes.
Document data governance standards, field definitions, lineage, and stewardship in a living data dictionary.
Partner with BI/reporting teams to detect master data quality issues before impacting reports.
Train and support cross-functional teams on master data intake standards and the impact of data quality.
Track and report data quality and pipeline performance metrics to leadership.
Requirements:
Bachelor’s degree in computer science, information systems, or related field, or equivalent experience.
Minimum of 7 years in data engineering, master data management, or related roles, including leadership of data standards initiatives.
Proficiency in Python (including PySpark) and SQL for pipeline development and data validation.
Experience with Microsoft Fabric or comparable modern data platforms (Databricks, Snowflake).
Experience integrating MDM processes with ERP and/or CRM platforms.
Skilled in designing match/merge/survivorship logic and automated data quality rules.
Familiarity with AI-assisted engineering tools for pipeline development and documentation.
Strong attention to detail and effective communication skills for diverse stakeholders.
Proven ability to lead cross-functional data governance and influence stakeholders.
Pay Range and Compensation Package:
$80,796 - $125,234 annually
The pay range listed for this position is based on candidate's skill level, experience, relevant licenses, and educational background.
Equal Opportunity Statement:
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.