Data Architect

Job Summary

The Data Architect will be responsible for maintaining an enterprise level metadata repository, including information about physical/logical ERDs using ERwin, data structures, data types, business definitions, ownership/stewardship, data quality parameters and data lineage throughout the enterprise data warehouse.

Job Duties

• Responsible for documentation of data sets across the enterprise for usage in a metadata tool, user role definitions and creation of standard metadata processes and procedures.
• Develop and maintain master data, metadata, and data management processes to efficiently manage impact analysis and bad data resolutions.
• Participate in and coordinate development of standard processes to support ongoing maintenance of enterprise data models, data flow diagrams, source to target, metadata repositories and business glossaries.
• Interact with product teams building customer facing applications in defining and managing data requirements.
• Coordinate, collaborate and innovate with IT & Business Portfolios to ensure alignment of data architecture approach and information with ongoing systems activity and project implementation.
• Provide Subject matter expertise for a business glossary or modelling application; provide guidance and training to customers, stakeholders and others on the team.
• Creative data and/or information problem solving as required; consult on various data and information work, and continuous improvement of data lifecycle processes, procedures and usage.
• Plan and prioritize own work effectively to achieve end results; Excellent attention to detail.

Education and Experience

• Six (5-6) years related experience.
• Experience on SQL and MPP architectures.
• Familiarity with cloud concepts and Master data management
• Experience understanding and creating data models both logical and physical, and ETL/ELT process.
• Proven experience maintaining metadata and data for large amounts of complex data and ensuring data integrity.
• Strong verbal and written communication skills.
• Ability to translate business data issues into solutions to meet multiple business needs; Strong analytical, problem solving, and process management skills.
• Ability to operationalize data governance policy work and/or formal data lifecycle management processes.
• Strong analytical skills and the ability to solve challenging problems in an efficient, maintainable, and flexible way.
• Proven ability to be proactive, possess flexible attitude, willingness to learn new skills; ability to accept ambiguity.
• Creative problem-solving aptitude