Role: Enterprise Architect (Data)
Location: 100% remote.
Duration: Long term
Must Have:
Azure, Snowflake
Technical Skills Needed:
DWC, SAC, Azure (ADLS, ADF, Azure ML) , Snowflake
Functional Skills Needed:
Data architecture, modeling, data quality, data mesh, data products
Job Summary:
The Enterprise Information Architect is responsible for the creation, maintenance and management of Enterprise Information architecture models and their lower level components.
Responsibility include but are not limited to:
- Define, deliver and implement the data strategy roadmap for the enterprise
- Set vision, gather requirements, gain business and IT consensus, perform vendor and product evaluations
- Mentor and coach business and technology resources
- Participate in Business Intelligence projects, and work with stakeholder groups to ensure successful solutions
- Assist in Establishing a Master Data Management program that will help create a common view of master data and provide a centralized mechanism for its aggregation, cleansing, transformation, augmentation, validation, and syndication
- Deep knowledge and experience defining and building Data Products using different technologies
- Develop specific metrics for quality and consistency reviews of data across the enterprise
- Lead the establishment and documentation of technology direction and standards for data platforms, involving all aspects of information access and retrieval, integration, middleware translators, utilities, tools, and languages for use by information technology groups
- Provide support to enterprise data infrastructure management and analysts to ensure development of efficient data systems utilizing established standards, procedures and methodologies
Skills & Experience
- 10 years of experience as an Enterprise Informaton/Data architect
- Deep knowledge of modern cloud data warehouse solutions
- Expert level knowledge of Azure ecosystem of technologies and all related information management components (ADF, ADLS, Databricks, Azure ML etc.)
- Expert level knowledge of Snowflake
- Working knowledge of SAP. Experience with SAP SAC and DWC is strongly preferred
- Expert level knowledge building canonical data models, reusable data services
- Working knowledge of modern integration technologies
- Excellent communication and influencing skills
- Working knowledge of modern AI COE implementations
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