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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** Snowflake Inc. - **Location:** Alpharetta, GA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Application Integration Architecture, Computing Platforms, ARM Architecture, Microsoft Azure, Software as a Service, Cloud Computing, Cloud Database, Information Systems, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Sharing, Data Vault Modeling, Data Warehousing, Dimensional Modeling, Disaster Recovery, Machine Learning, Meta-Data Management, Performance Tuning, Query Optimization, Role-Based Access Control, Software Tools, Search Technologies, SQL Databases, Data Streaming, Enterprise Data Management, Data Processing, Google Cloud, Data Ingestion, Large Language Models, Snowflake, Apache Spark, Generative AI, Data Strategy, Event Driven Architecture, Data Lakes, AI Platforms, Information Technology, Data Lineage, Data Analytics, Apache Kafka, Data Management, Dynamic Data, Machine Learning Operations, Virtual Agents, Domain Driven Design - **Published:** June 16, 2026 - **Apply:** https://www.dice.com/job-detail/b0cd32e4-fa68-40d2-aa7f-0f5f303ae28e ## About the Role * 8+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Platforms. * 4+ years of hands-on experience designing and optimizing Snowflake solutions. * Deep expertise with Snowflake capabilities including: + Virtual Warehouses + Resource Monitors + Time Travel + Zero-Copy Cloning + Data Sharing + Snowpark + Streams & Tasks + Security & Governance Controls * Strong proficiency in: + SQL + Data Modeling (Conceptual, Logical, Physical) + ETL/ELT Architecture + Cloud Platforms (AWS, Azure, or Google Cloud Platform) * Experience designing secure and scalable architectures for: + Analytics + Reporting + Data Science + Machine Learning * Strong understanding of: + Data Governance + Data Quality + Metadata Management + Compliance Frameworks (GDPR, SOC2, HIPAA) * Bachelor''s or Master''s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience). * Excellent communication, stakeholder management, and leadership skills. Preferred Qualifications Snowflake & AI * Hands-on experience with: + Snowflake Cortex Search + Cortex Analyst + Cortex LLM Functions + Vector Databases & Embeddings + RAG Implementations + AI Agent Development * SnowPro Certifications: + SnowPro Core + SnowPro Advanced + SnowPro Architect, * dbt * Apache Airflow * Kafka * Apache Spark * Fivetran * Matillion * Similar modern data engineering tools Additional Expertise * AI/ML Operations and Generative AI Workflows * Semantic Search and Knowledge Retrieval Architectures * Domain-Driven Design * Data Vault 2.0 * Enterprise Data Governance Programs * Experience within Financial Services, Healthcare, Pharmaceutical, or other regulated industries ## Description Client is seeking a highly experienced Snowflake Data Architect with expertise in Snowflake Cortex, AI-powered analytics, and modern cloud data platforms. This role will be responsible for designing and leading enterprise-scale data architectures that support advanced analytics, AI/ML initiatives, and data-driven business transformation. The ideal candidate will bring a combination of data architecture leadership, Snowflake platform expertise, cloud data engineering knowledge, and AI integration experience, enabling organizations to build secure, scalable, and intelligent data ecosystems., Data Architecture & Platform Design * Lead end-to-end architecture and solution design for Snowflake-based data platforms. * Design logical, physical, and semantic data models supporting analytics, reporting, and AI/ML workloads. * Architect data ingestion frameworks utilizing batch, streaming, Snowpipe, and ELT/ETL methodologies. * Design and implement scalable data warehouses, data lakes, and lakehouse architectures. Snowflake Optimization & Governance * Optimize platform performance through warehouse strategy, query tuning, workload management, autoscaling, and cost optimization. * Establish enterprise-grade governance frameworks covering: + RBAC (Role-Based Access Control) + Dynamic Data Masking + Row & Column-Level Security + Encryption & Secure Data Sharing + Data Lineage and Compliance Controls * Implement disaster recovery, replication, and high-availability solutions. AI & Snowflake Cortex Solutions * Architect and implement AI-powered solutions using: + Snowflake Cortex LLM Functions + Cortex Search + Cortex Analyst + Document AI + Vector Embeddings & Semantic Search + Retrieval-Augmented Generation (RAG) Architectures * Integrate Snowflake with external LLMs and AI platforms to support: + Conversational Analytics + AI Agents + Fine-Tuning Workflows + Multimodal Data Processing Data Engineering & Integration * Design scalable pipelines integrating cloud, on-premises, and SaaS data sources. * Implement real-time and event-driven architectures using: + Snowpark + Streams & Tasks + Kafka + Spark + Airflow * Enable governed, reusable data products for analytics and AI consumption. Leadership & Strategy * Lead migrations from legacy data warehouses and cloud platforms to Snowflake. * Define architecture standards, best practices, and reference frameworks. * Mentor architects and engineers on data modeling methodologies including: + Data Vault 2.0 + Kimball Dimensional Modeling + Hybrid Semantic Modeling * Conduct architecture reviews and guide enterprise data strategy initiatives. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Got AI ideas but no money? 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