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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in Enterprise Information Architecture, including data modeling, data governance, and the design of data flows and structures. Proficient in aligning technology strategies with business objectives and delivering comprehensive information architecture solutions across diverse platforms.
Highest-signal resume keywords
Data ArchitectureMaster Data Management (MDM)Business Intelligence (BI)Azure Data FactoryEnterprise Architecture Framework (TOGAF)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingDatabase DesignData IntegrationData GovernanceAnalytics ArchitectureETL SolutionsCloud-Based SolutionsData Quality ManagementMetadata ManagementBusiness Process Data Flows
Soft Skills
LeadershipCollaborationCommunicationAnalytical ThinkingProblem Solving
Tools & Technologies
Azure Data LakeSnowflakeTableauPower BICassandraCosmosERWinMicrosoft Azure StackDatabricksService-Oriented Architecture
Certifications & Qualifications
TOGAFZF
Industry Keywords
Enterprise Information ArchitectureData Warehouse DesignBusiness IntelligenceData GovernanceInformation ArchitectureData ManagementCloud SolutionsData StreamingOLTPOLAP
Tech Stack
Tools & technologiesAzureCassandraCloudETLNoSQLSQLTableau
About the role
Key responsibilities & impact- Lead, analyze, and design PODS’s Enterprise Information Architecture
- Build a holistic view and roadmap of the company’s technology strategy, processes, and information technology roadmap
- Partner with business and technology groups to align technical solutions with company objectives, mission, and vision
- Deliver Information Architecture blueprints and designs aligned with functional IA roadmaps
- Evangelize Information Architecture and the value and impact of effective IA design and governance to IT and business teams
- Initiate and coordinate teams in complex technology evaluations, proofs of concept, and prototyping exercises
- Design and document data flows across the enterprise
- Design data models for analytics and reporting and assess their feasibility
- Establish data standards with business data governance groups, including master, reference, and structural standards
- Work with solution architects on data integration and service architectures
- Understand business drivers and capabilities and determine architectural designs and change requirements
- Establish and document strategic standards for enterprise application architecture across diverse platforms and engineering and development teams
- Map enterprise information architecture models to package application models to assess vendor solution suitability and impact
- Ensure business data and information needs are addressed through intentional information architecture
- Document infrastructure architecture environments and procedures
- Blueprint data architecture, including multi-year transitions and modernization recommendations
- Re-engineer and maintain an enterprise-wide view of data across business systems
- Analyze information requirements and design supporting data structures
- Champion enterprise information solutions including MDM, metadata management, analytics, content management, data integration, and related information management capabilities
Requirements
What you’ll need- Bachelor degree in computer science, system analysis or a related study
- Minimum of 12+ years of enterprise-level experience in one or more of: data architecture, database design, business intelligence
- 7+ years’ experience as a Data Architect
- Experience working for a company or governmental agency with at least 300 employees in the private sector or 500 employees in a governmental agency
- Enterprise Architecture framework qualification such as TOGAF or ZF is a plus
- Expert knowledge and hands-on experience with MDM, BI, data warehouse design and implementation techniques
- Knowledge of industry-standard middleware, ETL, master data hub, and service-oriented architecture, design and delivery solutions
- Experience with BI and analytics architectures, including traditional warehousing, distributed computing, NoSQL, virtualization, or data streaming
- Experience defining Information Architectures for cloud-based solutions and Azure Data Factory, Databricks, Azure Data Lake, Snowflake, Azure SQL, Cassandra, and Cosmos
- Understanding of and hands-on experience with ERWin or an industry-standard modelling tool for OLTP and OLAP data models and implementation
- Understanding of domain modelling, business process data flows, business information modelling, entity flow diagrams, common information models, and Master Data Management
- Knowledge of Microsoft Azure Stack
- Experience with Tableau, Power BI, and Snowflake
- Knowledge of and hands-on experience implementing data management capabilities, including Master and Reference Data Management, Data Quality Management, Metadata Management, and Data Governance
Benefits
Comp & perks- Full-time remote work arrangement
- Equal Opportunity Employer
