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Data Architect
Ref No.: 18-02440
Location: San Diego, California

As an IT Data Architect, you will be responsible for developing and maintaining a formal description of data and data structures using logical and physical data models. The Data Architect is responsible for developing and enforcing data modeling standards and best practices, managing the enterprise data model and managing all metadata in the Analytics Platform environment. The Data Architect role is broader than the role of a typical application level "data modeler” in that it involves identifying the data needs, providing guidance on how to extract, transform and load the data and integrating the new data and applications with master data and other existing data in the existing Analytics Platform. It also involves modeling from a neutral perspective rather than from a single business functional perspective.


• Understand the business process; facilitate the discovery of entities, attributes, relationships, and business rules from the functional experts and the user community.
• Prepare process models to document data and information flows for sourcing and accessing warehouse data.
• Provide mapping between existing processes and proposed replacement processes.
• Perform data profiling and data analysis
• Design conceptual, logical and physical data models
• Design views and dimensional structures based on the 3NF model.
• Prepare fully refined data models in accordance with complete metadata.
• Manage and maintain the data models and associated metadata for the enterprise.
• Provide input and feedback regarding ETL processes
• Maintain and publish project business rules and the associated enterprise data dictionary.

• 10+ years of related experience
• Proficient in industry standard techniques for data modeling, process modeling, master data management, metadata management and enterprise data management and data stewardship
• Proficient in 3rd normal form relational modeling and dimensional modeling.
• In depth knowledge of modeling methodologies and techniques.
• Experience with the ERwin data modeling tool.
• Strong SQL and analytical skills.
• Strong understanding of Master Data Management disciplines and methodology.
• Good understanding of ETL processes and ETL best practices.
• Experience/ familiarity with Business Intelligence tools. For example: Business Objects and MS Power BI.
• Excellent teaming and communication skills.
• Effective multi-tasking skills.
• Strong consultative, facilitation and consensus building skills

• Hands on experience with relational DBMS, with Teradata experience desired.
• Familiarity with Hadoop, Aster, Big Data and Cloud Architecture is a plus