Director, Data Architect – Global Equipment Platforms

The Coca-Cola Company

Director, Data Architect for Coca-Cola GEP defining data architecture standards and vision. Enhancing data architecture for connected commercial networks across global equipment platforms.

Posted 7/30/2026full-timeAtlanta • 🇺🇸 United StatesLead💰 $149,000 - $173,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in defining and governing enterprise data architecture, including cloud data platforms, data modeling, and data integration patterns. Capable of translating complex business requirements into actionable architectural guidelines while ensuring data governance and quality.

Highest-signal resume keywords

Data ArchitectureCloud Data PlatformsData ModelingData GovernanceData Integration Patterns

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData EngineeringAnalytics ArchitectureData ModelingMetadata ManagementAPIsData IntegrationCanonical Data ModelsEnterprise Semantic LayersData Contracts

Soft Skills

LeadershipCollaborationCommunication

Tools & Technologies

Microsoft FabricData HubUnified IoTKOSFOS

Industry Keywords

Enterprise Data ArchitectureOperational EventsTelemetry EventsAI/ML Use CasesBusiness OntologiesKnowledge Models

Tech Stack

Tools & technologies

CloudIoT

About the role

Key responsibilities & impact

Define GEP’s Enterprise Data Architecture
Evaluate existing data architecture, platforms, and capabilities across GEP and the broader enterprise ecosystem; identify gaps and opportunities; and define a target-state architecture and modernization roadmap aligned to enterprise standards, business priorities, and future-state digital and AI capabilities.
Lead the definition of GEP’s enterprise data architecture across equipment telemetry, operational events, service data, product analytics, customer-facing insights, and AI/ML use cases.
Establish canonical data models for core entities such as equipment, devices, outlets, customers, bottlers, telemetry events, service events, products, consumption, configurations, and operational states.
Define architecture patterns for how data flows across source systems, Unified IoT, KOS, FOS, Microsoft Fabric, Data Hub, APIs, data products, and downstream applications.
Partner with GEP Engineering, Platform, Unified IoT, and broader global architecture and technology teams to ensure data architecture standards are implementable, scalable, secure, and operationally sustainable.
Define and govern data contracts between source systems, OEMs, vendors, platform teams, and data consumers.
Establish and evolve business ontologies and knowledge models that define the relationships between equipment, telemetry, products, customers, service events, and operational processes, enabling consistent data interpretation, interoperability, discoverability, and AI-ready capabilities.

Requirements

What you’ll need

10+ years in data architecture, enterprise data platforms, data engineering, analytics architecture, or related technical leadership roles.
Experience defining data architecture across complex, multi-system enterprise environments.
Strong experience with cloud data platforms, lakehouse or warehouse architectures, data modeling, metadata, semantic layers, APIs, and data integration patterns.
Experience designing or governing data products, data contracts, canonical data models, or enterprise semantic layers.
Experience working across data engineering, product, software engineering, analytics, and business stakeholders.
Strong understanding of data governance, quality, lineage, access control, classification, and stewardship.
Ability to translate complex business needs into clear architectural guidelines.

Benefits

Comp & perks

A full range of medical, financial, and/or other benefits, dependent on the position is offered.