Willing to start a new freelance challange? Define how data is structured and owned across the organization, ensuring teams rely on consistent and trusted information
Clarify where data is created, transformed, and consumed, reducing duplication and ambiguity across applications
Analyze and improve data flows between systems to increase reliability and transparency
Establish data modeling and naming standards so teams can work with shared definitions instead of reinventing them
Drive adoption of data governance practices that improve data quality and accountability
Partner with architects and product teams to ensure new initiatives align with the target data architecture
Identify gaps in the current landscape and propose practical improvements that increase data consistency and usability
5+ years of experience in data architecture, data modeling, or enterprise information management
~ Strong hands-on experience with conceptual and logical data modeling in complex environments
~ Proven ability to map data across multiple systems (source, transformation, consumption)
~ Experience with data governance, MDM, or data quality frameworks
~ Ability to translate business concepts into structured data models
~ Solid understanding of integration patterns (APIs, ETL/ELT, event-driven)
~ Certifications (TOGAF, DAMA, cloud, etc.)