Top 22 Big data architect Jobs in Duluth, Ga

Sr. Data Architect
Warner Bros. Discovery —Atlanta, GA
- Full-time
- Azure
- Computer Science
- 5 years
Big Data Solution Architect
Sonoma Consulting Inc. —Atlanta, GA
- Computer Science
- Bachelor of Science
- Software development
Quick Apply
Lead Data Architect - Corporate
Humana —Atlanta, GA
- $129,300 - $177,800 a year
- Full-time
- 5 years
- System design
- Office
- Paid parental leave
- Paid holidays
3d
Enterprise Data Security Architect
Primerica —Duluth, GA
- $180,000 - $250,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- HIPAA
- Health savings account
- Disability insurance
Solutions Architect - Retail, Travel & Hospitality
Databricks —Atlanta, GA
- $180,000 - $247,500 a year
- 5 years
- Java
- Mentoring
Sr. Solutions Architect - Retail, Travel & Hospitality
Databricks —Atlanta, GA
- $219,100 - $301,300 a year
- Java
- 8 years
- Mentoring
Solution Architect
Alvarez and Marsal —Atlanta, GA
- $125,000 - $155,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
- AD&D insurance
- 401(k)
Cybersecurity Architect
Booz Allen Hamilton —Atlanta, GA
- $112,900 - $257,000 a year
- Full-time
- Azure
- 5 years
- DevOps
- Health insurance
- Flexible spending account
Pre- Sales Solutions Architect
Impetus Technologies —Atlanta, GA
- Organizational skills
- Senior level
- Communication skills
Principal Solutions Architect, GenAI
AIG PC Global Services, Inc. —Atlanta, GA
- Email
- DevOps
- Office
- AWS
- Health insurance
Quick Apply
Lead Software Engineer
Mastercard —Atlanta, GA
- $140,000 - $231,000 a year
- Online Application
- AWS
- Senior level
- Leadership
- Paid jury duty
- Health savings account
6d
Senior Machine Learning Architect
Equifax —Atlanta, GA
- Full-time
- 7 years
- Bachelor of Science
- Master's degree
- Health insurance
- Paid time off
11h
AI Solutions Engineering Principal
Equifax —Alpharetta, GA
- Full-time
- 11+ years
- Office
- Bachelor's degree
- Health insurance
- Paid time off
Solutions Architect, Manager - Tax Transformation
Deloitte —Atlanta, GA
- $128,025 - $261,625 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- CPA
Senior Technology Architect
Infosys —Atlanta, GA
- Full-time
- 18 years or older
- Azure
- Computer Science
Quick Apply
Sr. Manager, Enterprise Architect - Tax Transformation
Deloitte —Atlanta, GA
- $155,625 - $317,875 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- CPA
9h

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Sr. Data Architect

Warner Bros. Discovery -
Atlanta, GA

Apply Now

Job Details

Full-time

Qualifications

Ontology
Data model design
Commercial use (data warehousing systems)
Data lake
Schema design
ROI
Reducing cloud infrastructure costs
Data Architecture Design (Architecture design skills)
Cloud database architecture
Bachelor's degree
Version control systems
Semantic Web
Dimensional modeling

Full Job Description

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When 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…

From 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.

Your Role:

We 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.

Role Accountabilities:

Semantic Architecture & AI Context Layer

Architect 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.
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.
Drive 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.

Technical Design & Canonical Engineering

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.
Modernize 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.
Operationalize 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.

Governance, Quality & Semantic Integrity

Standardize & Automate Contracts: Develop and enforce enterprise-wide standards for metadata management, data contracts, and semantic version control through automated frameworks and CI/CD integration.
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.
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.

Qualifications & Experiences:

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, along with proficiency in enterprise modeling tools.
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.

How We Get Things Done…

This 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.

Championing Inclusion at WBD

Warner 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.

Apply Now

Refine Your Search

big data architect jobs in duluth, ga

Sr. Data Architect

Big Data Solution Architect

Lead Data Architect - Corporate

Enterprise Data Security Architect

Solutions Architect - Retail, Travel & Hospitality

Sr. Solutions Architect - Retail, Travel & Hospitality

Solution Architect

Cybersecurity Architect

Pre- Sales Solutions Architect

Principal Solutions Architect, GenAI

Lead Software Engineer

Senior Machine Learning Architect

AI Solutions Engineering Principal

Solutions Architect, Manager - Tax Transformation

Senior Technology Architect

Sr. Manager, Enterprise Architect - Tax Transformation

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