Digital Realty is seeking to design, standardize, and govern how data is structured, integrated, and leveraged across the enterprise, ensuring consistency across systems, business domains, and analytics platforms.
Requirements
- 10+ years in enterprise data management, data architecture, or information architecture.
- Proven experience defining and managing canonical data models across multiple business domains.
- Strong knowledge of data modeling techniques (conceptual, logical, and physical).
- Hands-on experience with Profisee MDM or equivalent enterprise MDM tools.
- Familiarity with metadata and governance platforms (Microsoft Purview, Collibra, Informatica, etc.).
- Deep understanding of data integration approaches (ETL/ELT, APIs, streaming, event-driven).
- Knowledge of cloud-native data platforms (Azure, AWS, GCP) and modern architectures (data mesh, fabric, lakehouse).
Responsibilities
- Define, maintain, and evolve the enterprise canonical data model, ensuring standardization across systems and domains (e.g., customer, contracts, inventory, financials).
- Collaborate with the MDM Program Leader to design Profisee MDM data models, hierarchies, and stewardship workflows that align with enterprise standards.
- Partner with enterprise architects and solution teams to embed information architecture principles in system implementations, integrations, and analytics platforms.
- Develop and enforce metadata, glossary, and data lineage standards using enterprise cataloging/governance tools (e.g., Microsoft Purview).
- Establish reusable data design patterns for interoperability across applications, APIs, streaming platforms, and data warehouses/lakes.
- Work with business stakeholders to capture requirements and translate them into standardized, reusable models that support operational and analytical use cases.
- Conduct architecture reviews of projects and initiatives to ensure compliance with canonical data model and information architecture standards.
Other
- Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field required.
- Master’s degree preferred.
- Strong facilitation and communication skills, with experience driving consensus across diverse stakeholder groups.
- Ability to bridge business and technology perspectives, ensuring models align with enterprise processes and strategies.
- Travel requirements not specified
