Architect V – Enterprise Information

PODS

. Lead, analyze, and design PODS’s Enterprise Information Architecture .

Posted 10/3/2026full-timeRemote • Florida • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in Enterprise Information Architecture, including data modeling, governance, and integration across diverse platforms. Proficient in designing and implementing data architectures for cloud-based solutions and analytics, ensuring alignment with business objectives.

Highest-signal resume keywords

Data ArchitectureMaster Data Management (MDM)Business Intelligence (BI)Cloud-Based Solutions (Azure)Enterprise Architecture Framework (TOGAF)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ModelingDatabase DesignData IntegrationData GovernanceETL TechniquesAnalytics ArchitectureInformation Architecture DesignData Quality ManagementMetadata ManagementBusiness Process Data Flows

Soft Skills

LeadershipCollaborationCommunicationAnalytical ThinkingProblem Solving

Tools & Technologies

Azure Data FactoryDatabricksAzure Data LakeSnowflakeTableauPower BIERWinMicrosoft Azure Stack

Certifications & Qualifications

TOGAFZF

Industry Keywords

Enterprise Information ArchitectureData Warehouse DesignService-Oriented ArchitectureMaster Data HubNoSQLDistributed ComputingOLTPOLAP

Tech Stack

Tools & technologies

AzureCassandraCloudETLNoSQLSQLTableau

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 and mission
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
Independently initiate and coordinate teams in complex technology evaluations, proofs of concept, and prototyping exercises
Design and document data flows across the technology estate
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
Determine architectural designs and change requirements based on business drivers and capabilities
Establish and document strategic enterprise application architecture standards across diverse platforms and engineering teams
Oversee mapping of enterprise information architecture models to package application models and assess vendor solution suitability
Ensure business data and information needs are met 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 user information requirements and design supporting data structures
Champion enterprise information solutions such as MDM, metadata management, analytics, content management, data integration, and information infrastructure components

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 data architecture, database design, or 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 technologies such as 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 modeling tool for OLTP and OLAP data models and implementation
Understanding of domain modeling, business process data flows, business information modeling, 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 employment
Remote work arrangement