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General Mills, Inc.

Minneapolis, MN

Senior Enterprise Architect, Data Architecture Jobs Near Me

Location100 1st St S, Minneapolis, Minnesota 55407
Employment TypeContractor
Date Posted2022-08-07
Direct Apply
Valid Through2023-04-01

Job Description:

SENIOR ENTERPRISE ARCHITECT, DATA ARCHITECTURE OVERVIEW: The Senior Enterprise Data Architect will be a critical role within ETSAI (Enterprise Technology Strategy, Architecture & Innovation) group of General Mill's D&T (Digital and Technology) organization and will act as an advisor to leadership to develop overall data architecture strategy and vision for highly complex business and technical needs across multiple business units. This role will partner closely with the platform teams to ensure a performant and resilient data architecture. Additionally, the Senior Enterprise Data Architect will work closely with Product Owners to determine their goals and outcomes, eliciting and analyzing requirements and creating tech strategy and architecture to enable both current as well as future needs. KEY ACCOUNTABILITIES: Lead Enterprise Data Architecture and related technical strategies providing thought leadership in the areas of data management, master data management, data modelling, data governance, transformations, enrichment and data integration. Develop data architecture blueprints, patterns and develop frameworks that will enable reuse and standardization. Analyze disparate data sources to design & tailor a data model that unifies the data (e.g. Profile data, behavioral data) to meet consumer engagement use cases. Proficiency & experience with designing consumer centric database models, datasets (e.g. Marketing, Display Advertising, Point of Sale) Define SOT, SOR and SOO for enterprise data assets; define and maintain end to end data flows for various subject areas. Work with business leaders to define cross-functional data strategy and architecture aligned to business strategy and capabilities. Lead multiple highly visible strategic and transformative initiatives around data that impact and influence business outcomes. Create and maintain current, target state architecture and track maturity of data ecosystem capabilities along with standards/patterns for interfaces. Maintain knowledge of industry best practices and new technologies and recommend new solutions to provide a competitive advantage to the organization. Facilitate data architecture review forum with solution architects, data engineers to ensure compliance to standards (integration patterns, data management) and review the data solutions and manage technical debt. Consult, advise, provide SME expertise to project teams on anything and everything related to enterprise data architecture and analytics topics. Lead discovery projects, POCs and experiments within various domains. Partner with key data and technical resources (e.g. Enterprise Integration Architects, Infrastructure leaders) and vendors to define data strategy, design & develop data frameworks, domain data modelling & document solutions. Perform end to end impact assessment for any technical change and how it may impact upstream and downstream systems and processes. Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership on enterprise data architecture topics. MINIMUM QUALIFICATIONS: Minimum 15+ years of experience working with Data Architectures of enterprise data assets including Data Lakehouse, Master Data Management (MDM), Consumer Golden Record, Data Quality, Data Analytics/BI, Data Enrichment, Data Integration/ETL, data privacy and Governance. BS/BA Computer Science / MIS degree or equivalent experience In-depth knowledge and experience in the consumer data domain with expertise in CDP (Consumer Data Platform), consumer data lakes, DMP (Data Management Platform) technologies Proficiency with Data Modeling experience (e.g. Relational, Dimensional, Big Data) Proficiency with data transformation & ETL tools. Experience in architecting consumer data solutions to enable marketing use cases - personalization, targeting, consumer analytics, insights. Proficiency with data modelling, enterprise architectu

Job ID: 8924215846548161493

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