Director, Data Architect – Global Equipment Platforms

The Coca-Cola Company

. Define and govern the enterprise data architecture for Global Equipment Platforms .

Posted 9/29/2026full-timeAtlanta • United StatesLead💰 $149,000 - $173,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates extensive expertise in defining and governing enterprise data architecture, with a strong focus on cloud data platforms, data governance, and AI/ML integration. Proven ability to lead cross-functional teams and establish data models, contracts, and compliance frameworks in complex environments.

Highest-signal resume keywords

Data ArchitectureCloud Data PlatformsData GovernanceAI/ML IntegrationData Modeling

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 ArchitectureData EngineeringData ModelingMetadata ManagementData Integration PatternsAPIsData ContractsCanonical Data ModelsData Quality FrameworksPredictive Analytics

Soft Skills

Technical LeadershipCollaborationStakeholder EngagementCommunication

Tools & Technologies

Microsoft FabricAzure Data ServicesDatabricksSnowflakeData HubUnified IoT

Industry Keywords

IoTTelemetryOperational TechnologyIndustrial SystemsData GovernanceData StewardshipOperational IntelligenceReal-Time Monitoring

Tech Stack

Tools & technologies

AzureCloudIoT

About the role

Key responsibilities & impact

Define and govern the enterprise data architecture for Global Equipment Platforms
Evaluate existing data architecture, platforms, and capabilities; identify gaps and define a target-state architecture and modernization roadmap
Lead 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 equipment, devices, outlets, customers, bottlers, telemetry events, service events, products, consumption, configurations, and operational states
Define architecture patterns for data flows across source systems, Unified IoT, KOS, FOS, Microsoft Fabric, Data Hub, APIs, data products, and downstream applications
Define and govern data contracts, schemas, metadata, lineage, naming conventions, data definitions, and semantic layers
Establish and evolve business ontologies and knowledge models
Define architectural standards for reusable data products, curated datasets, APIs, semantic models, feature layers, and governed access patterns
Define data ownership, stewardship, governance, role-based access, classification, discoverability, and controlled data sharing models
Ensure compliance with regulatory and contractual requirements and secure, auditable access to sensitive data
Define AI-ready data architecture for predictive maintenance, beverage quality intelligence, operational optimization, product analytics, and AI-driven applications
Partner with Product, Engineering, Unified IoT, Platform, Data Science, Operating Units, Bottlers, Legal, Security, and external partners
Serve as data architecture point of contact for KOS, Unified IoT, Common Equipment Data Language, Fabric, Data Hub, predictive maintenance, beverage quality, and customer-facing analytics
Provide technical leadership and architecture guidance to vendors and delivery partners

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
Experience with IoT, telemetry, connected devices, manufacturing, operational technology, industrial systems, or equipment data
Experience with Microsoft Fabric, Azure data services, Databricks, Snowflake, or other modern enterprise data platforms
Experience designing architectures that support AI/ML, predictive analytics, operational intelligence, or real-time monitoring
Experience with data mesh, domain-oriented architecture, federated governance, or distributed data ownership models
Experience working with external partners, OEMs, vendors, bottlers, franchise networks, or customer-facing data ecosystems
Experience with metadata management, data catalogs, data discovery tools, observability, and data quality frameworks
Must be currently authorized to work in the United States on a full-time basis
Must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States

Benefits

Comp & perks

Annual incentive reference value of 30%
Medical, financial, and/or other benefits
Inclusive culture and continuous learning opportunities