The Coca-Cola Company · 5 hours ago
Senior Manager, Software Engineer, Data Platform Segmentation
Atlanta, GA
Full-time
Onsite
Senior Level, Lead/Staff
$103K/yr - $121K/yr
8+ years expThe Coca-Cola Company is seeking a Senior Manager, Software Engineer Data Platform & Segmentation who will be responsible for the technical vision and evolution of data platforms and segmentation capabilities. This role will involve partnering with product teams to ensure effective data modeling and segmentation strategies that enhance customer engagement and business outcomes.
Consumer GoodsFast-Moving Consumer GoodsFood and BeverageManufacturing
No H1B
Responsibilities
Partner closely with Product Managers, Designers, and Tech Leads to co-own outcomes, not just data assets
Participate actively in product discovery to ensure segmentation strategies are technically feasible, scalable, and analytically sound
Translate business and customer questions into durable data models and segmentation frameworks
Define and evolve the segmentation architecture across customer and commercial data domains
Design scalable data models that support real-time, near real time, and batch segmentation use cases
Ensure segmentation logic is reusable, explainable, and consistent across channels and products
Make explicit trade-offs across latency, accuracy, cost, privacy, and maintainability
Build and maintain high-quality, production-grade data pipelines and services
Ensure strong standards for data quality, lineage, observability, and reliability
Reduce fragmentation and duplication in segmentation logic across teams
Leverage metrics to continuously improve data freshness, accuracy, and usability
Act as a go-to expert for data platform and segmentation design
Lead complex technical initiatives end-to-end through hands-on contribution
Influence technical direction through design reviews, reference implementations, and documented standards
Mentor senior engineers and Tech Leads through coaching and technical guidance (without direct management responsibility)
Demonstrate deep, hands-on expertise with Microsoft Azure data services and their application in large-scale, product-centric environments
Design and evolve segmentation and data platform architectures leveraging Azure Data Fabric concepts, ensuring interoperability, governance, and reuse across domains
Apply strong architectural judgment across core Azure data products, including data ingestion, storage, processing, analytics, and activation layers
Optimize designs across cost, performance, latency, and scalability, using Azure-native capabilities and patterns
Ensure secure-by-design implementations aligned with Azure identity, access, encryption, and compliance controls
Partner with enterprise architecture, cloud, and security teams to ensure Azure data platform decisions align with broader enterprise strategy while preserving team autonomy
Stay current on Azure data platform evolution and proactively assess new capabilities for business value, not novelty
Serve as a trusted technical partner to Customer and Commercial stakeholders
Communicate segmentation concepts, assumptions, and limitations in clear business language
Proactively surface data constraints, privacy considerations, and trade-offs to enable informed decisions
Support external partner and vendor conversations as a technical authority when needed
Ensure segmentation approaches comply with data privacy, consent, and regulatory requirements
Collaborate with Security, Privacy, and Legal teams to embed governance into platform design—not bolt it on later
Advocate for responsible and ethical use of customer and commercial data
Segmentation capabilities measurably improve customer engagement and commercial outcomes
Reduced duplication and inconsistency in segmentation logic across products
Improved data quality, freshness, and trustworthiness
Faster time-to-insight and activation for product teams
Platforms and models that scale with growth while controlling cost and risk
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience
8+ years of hands-on experience in data platform, analytics engineering, or backend engineering roles
Deep expertise in data modeling, segmentation strategies, and large-scale data systems
Strong experience with cloud-native data platforms and modern data tooling
Proven ability to partner closely with product and business stakeholders
Demonstrated impact as a senior individual contributor on complex, cross-team initiatives
Benefits
A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:15
Annual Incentive reference value is a market-based competitive value for your role.
Company
The Coca-Cola Company
The Coca-Cola Company is a soft drink manufacturer & distributor that makes a variety of soft drinks, including diet coke and regular coke.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown1919-09-05IPO
Leadership Team
Henrique Braun
Chief Operating Officer
Jennifer Henry
Senior Vice President, Strategy and Corporate Development
Recent News
2026-01-16
Company data provided by crunchbase