Senior Data Architect

Warner Bros. Discovery

Sr. Data Architect for Warner Bros.

Posted 6/27/2026full-timeAtlanta • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

The ideal candidate must demonstrate expertise in data architecture and engineering, with a strong ability to design and implement scalable data solutions that enhance decision-making. Collaboration with cross-functional teams and a focus on data quality and governance are essential for success in this role.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ArchitectureCanonical ModelsSemantic LayersData ModelingMLOpsMetadata ManagementData Quality FrameworksIdentity ResolutionCloud Data Platforms

Soft Skills

LeadershipCollaborationProblem-SolvingCommunicationOrganizational Skills

Tools & Technologies

SnowflakeDatabricksMicrosoft FabricAWSAzure

Industry Keywords

Enterprise OntologySemantic LayerData LakeLakehouseFinOpsData ContractsSemantic Version ControlIntelligent APIsBig DataData Vault 2.0

Tech Stack

Tools & technologies

AWSAzureCloudUnityVault

About the role

Key responsibilities & impact

architecting the framework that empowers our entire organization to make high-stakes, data-driven decisions
co-own the design of the foundational AI Context Layer
define the vision, requirements, and roadmap for an Enterprise Ontology and Semantic Layer
design and deploy semantic abstraction layers to expose canonical data via intelligent APIs
bridge the gap between physical big data performance and semantic meaning
lead the design and consolidation of foundational data domains into unified, cleansed Canonical Models
implement cutting-edge, resilient lakehouse patterns
partner with ML/DevOps teams to architect and maintain MLOps processes
develop and enforce enterprise-wide standards for metadata management, data contracts, and semantic version control
ensure data and its underlying business logic are highly discoverable and machine-readable
implement reusable data quality and identity resolution frameworks

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Information Technology or similar major
5+ years of experience in data engineering and data architecture in a dedicated Enterprise or Domain Architect capacity
Proven track record of designing, scaling, and implementing Canonical Models and Semantic Layers that sit on top of massive Enterprise Data Lakes/Lakehouses
5+ years of experience with modern cloud data platforms, specifically possessing deep architectural knowledge in at least one of the following: Snowflake (Dynamic Tables, Cortex, Horizon), Databricks (Unity Catalog, Delta Live Tables), or Microsoft Fabric (OneLake, Semantic Models), alongside cloud ecosystems like AWS or Azure
Advanced skill in Data Modeling across multiple paradigms: Relational, Dimensional (Kimball), and highly relational/flexible frameworks like Data Vault 2.0 or Graph-native concepts
Demonstrated ability to build, maintain, and version-control an ontology or semantic map (e.g., translating messy source attributes into a single, unified business entity layer)
Solid understanding of FinOps —managing and optimizing cloud compute/storage consumption to maintain platform ROI while running complex semantic or AI workloads.

Benefits

Comp & perks

career defining opportunities
thoughtfully curated benefits
tools to explore and grow
supported and celebrated environment