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We are seeking an experienced Data Architect to design and implement enterprise data architecture solutions with a strong focus on Master Data Management (MDM) and ETL processes. This role will partner with business and technology teams to define data standards, ensure data quality, and enable scalable, governed data integration across platforms.
Job Responsibility:
Define and maintain enterprise data architecture standards, models, and integration patterns
Lead Master Data Management initiatives including customer, product, provider, or reference data domains
Design conceptual, logical, and physical data models to support operational and analytical use cases
Partner with business stakeholders to understand data requirements and translate them into technical solutions
Provide architectural guidance and oversight to ETL development teams
Design data integration and data movement strategies across source systems, data warehouses, data lakes, and downstream consumers
Ensure data quality, consistency, and governance across integrated systems
Support data lineage, metadata management, and impact analysis
Collaborate with data governance, security, and compliance teams to ensure adherence to policies and standards
Review and optimize ETL workflows for performance, scalability, and reliability
Document architecture decisions, data flows, and integration designs
Requirements:
6+ years of experience in data architecture roles
Hands-on experience with Master Data Management concepts and implementations
Strong experience designing and supporting ETL/ELT pipelines
Experience with relational and dimensional data modeling
Strong SQL skills and understanding of database design principles
Experience working with data warehouses and/or data lake architectures