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Discovery… the stuff dreams are made of.\nWho We Are…\nWhen we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…\nFrom brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.\nYour Role:\nWe are expanding our Enterprise Data & Analytics Group by adding a Sr. Data Architect. The ideal candidate will treat data as a strategic and intelligent asset, architecting the framework that empowers our entire organization to make high-stakes, data-driven decisions and powers our next-generation Agentic AI ecosystems. You will co-own the design of the foundational AI Context Layer -from enterprise ontology and sophisticated canonical domain modeling to the building of universal semantic layers. This is a high-visibility role where you will spearhead modernization efforts, partnering with senior leadership, data engineering, and AI/ML teams to transform an optimized data lakehouse into an interconnected, self-reasoning knowledge engine.\nRole Accountabilities:\nSemantic Architecture & AI Context Layer\nArchitect the AI Context Layer: Define the vision, requirements, and roadmap for an Enterprise Ontology and Semantic Layer that acts as the \"world map\" and central source of truth for Agentic AI, LLM prompting, and GraphRAG systems.\n Build the Semantic Layer: Design and deploy semantic abstraction layers (using native platform capabilities like Snowflake Semantic Views, Databricks Unity Catalog/Liquid Clustering, Fabric Semantic Models, or semantic middleware like dbt/Cube) to expose canonical data via intelligent APIs.\nDrive Data Innovation: Bridge the gap between physical big data performance and semantic meaning, ensuring that AI agents can reason through complex, recursive enterprise relationships without hallucinating.\nTechnical Design & Canonical Engineering\n Build Canonical Data Products: Lead the design and consolidation of foundational data domains (e.g., Studio, Finance, Content Sales, Consumer Products) into unified, cleansed Canonical Models within the Silver/Gold layers, successfully abstraction-matching data from highly heterogeneous source systems.\nModernize the Medallion Stack: Implement cutting-edge, resilient lakehouse patterns-including stream processing, event-driven pipelines, and schema-on-read ingestion-to feed the canonical layers seamlessly.\nOperationalize AI Context Pipelines: Partner with ML/DevOps teams to architect and maintain MLOps and LLMOps processes that ensure context data, feature stores, and vector embeddings are continuously updated and monitored in production.\nGovernance, Quality & Semantic Integrity\nStandardize & Automate Contracts: Develop and enforce enterprise-wide standards for metadata management, data contracts, and semantic version control through automated frameworks and CI/CD integration.\n Enable AI & Data Democracy: Ensure data and its underlying business logic are highly discoverable and machine-readable, allowing both traditional business analysts (via self-service BI) and AI Agents to query data with identical semantic consistency.\n Ensure Relationship Integrity: Implement reusable data quality and identity resolution frameworks to handle complex object hierarchies (e.g., mappings across households, profiles, and accounts) across the enterprise lakehouse.\nQualifications & Experiences:\nBachelor’s degree in Computer Science, Information Systems, Data Analytics, Information Technology or similar major\n5+ years of experience in data engineering and data architecture in a dedicated Enterprise or Domain Architect capacity.\nProven track record of designing, scaling, and implementing Canonical Models and Semantic Layers that sit on top of massive Enterprise Data Lakes/Lakehouses.\n5+ 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.\n 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, along with proficiency in enterprise modeling tools.\n 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).\nSolid understanding of FinOps -managing and optimizing cloud compute/storage consumption to maintain platform ROI while running complex semantic or AI workloads.\nHow We Get Things Done…\nThis last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.\nChampioning Inclusion at WBD\nWarner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.","description_format":"text","description_chars":6384,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Media & Entertainment","Standards & Industry Bodies"],"lifecycle":[{"event":"open","at":"2026-10-01T10:03:06Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.335,"p_room":0.28,"age_days":113,"expected_fill_days":18,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/pressroom-sr-data-architect","json_url":"https://alion.io/job/pressroom-sr-data-architect.json","meta":{"generated_at":"2026-10-18T10:29:49Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15522,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":21042},"rest":"https://alion.io/mcp/rest/get_company?id=21042"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpressroom-sr-data-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpressroom-sr-data-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpressroom-sr-data-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/pressroom-sr-data-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpressroom-sr-data-architect"}]}