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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - Snowflake - **Company:** KT-II, INC. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Architectural Patterns, ARM Architecture, Audit Trail, Microsoft Azure, Data Architecture, Data Control, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Machine Learning, Metadata, Performance Tuning, Reference Data, Software Engineering, Data Streaming, Systems Integration, Tax Compliance Software, Workflow Management Systems, Enterprise Data Management, Google Cloud, Sql Optimization, Informatica Powercenter, Snowflake, Generative AI, Data Lakes, Data Analytics, Enterprise Integration, Real Time Data, Apache Kafka, Data Management, Physical Data Models, Data Pipelines, Mulesoft - **Published:** August 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c78d1b05e07aa732 ## About the Role We are seeking an experienced Data Architect with strong expertise in Snowflake and Snowflake Cortex to design and deliver scalable, secure, and high-performance enterprise data solutions. This is a hands-on, client-facing role for an architect who can lead data-platform strategy across cloud data warehousing, data integration, governance, security, analytics, and AI-enabled capabilities. Experience supporting U.S. Corporate Tax data, processes, reporting, or technology platforms is highly preferred., * 10+ years of experience in data architecture, data engineering, data warehousing, or related technical roles. * Strong hands-on experience designing and implementing enterprise solutions on Snowflake. * Hands-on knowledge of Snowflake Cortex and its applicable AI/ML-enabled capabilities. * Advanced SQL skills and strong expertise in data modeling. * Experience with enterprise data warehouses, data lakes, and modern cloud data platforms. * Strong understanding of ETL/ELT frameworks, data pipelines, orchestration, and data-integration patterns. * Experience with AWS, Azure, GCP, or a combination of cloud platforms. * Knowledge of data governance, data quality, master/reference data, security, privacy, and performance optimization. * Demonstrated ability to lead architecture reviews and communicate effectively with technical and business stakeholders. * Ability to work independently in a fully remote, customer-facing environment. Good-to-Have Qualifications * Domain expertise in U.S. Corporate Tax, including tax data, tax reporting, compliance, provision, audit, or related business processes. * Experience working with corporate tax technology platforms, tax-data integrations, or finance/tax transformation initiatives. * Familiarity with tax-sensitive data requirements, audit trails, data controls, and regulatory reporting needs. * Experience integrating Snowflake with MuleSoft or other enterprise integration platforms. * Knowledge of Python, dbt, Airflow, Kafka, Informatica, Fivetran, Matillion, or similar tools. * Experience supporting AI, machine learning, generative AI, or advanced analytics initiatives. * Snowflake certifications, such as SnowPro Core or SnowPro Advanced. * Experience working in consulting, large enterprise, finance, accounting, or tax-technology environments. Application Question(s): * Are you currently authorized to work in the United States as a U.S. Citizen or Green Card holder? * Do you have 10 or more years of experience in data architecture, data engineering, or data warehousing? * Do you have hands-on experience designing and implementing enterprise solutions using Snowflake? * Do you have hands-on experience with Snowflake Cortex or Snowflake AI/ML capabilities? * Which cloud platforms have you used professionally? * Which data integration or orchestration tools have you used? * Do you have experience with data governance, data quality, security, metadata, lineage, and access controls? * Do you have experience supporting U.S. Corporate Tax, tax reporting, tax compliance, tax provision, audits, or tax technology? * Are you comfortable working remotely in a client-facing role supporting U.S. stakeholders? ## Description * Design and implement enterprise data architecture using Snowflake. * Configure, assess, and optimize Snowflake Cortex capabilities for AI-enabled data and analytics use cases. * Define conceptual, logical, and physical data models; data flows; integration patterns; and data lifecycle standards. * Architect scalable batch and real-time data ingestion, transformation, and orchestration frameworks. * Establish data governance, data quality, metadata, lineage, privacy, security, and role-based access-control standards. * Develop architecture patterns that support tax data, financial data, reporting, compliance, and auditability requirements. * Partner with AI, software engineering, MuleSoft/integration, analytics, and data engineering teams to deliver end-to-end solutions. * Define and enforce architecture standards for performance, reliability, scalability, and cost optimization. * Review solution designs and guide teams on adherence to enterprise data architecture standards. * Lead technical discussions with customer stakeholders and translate business requirements into scalable technical solutions. ## 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) - [Why make use of an integration platform in today's software developments and infrastructure?](https://www.wearedevelopers.com/videos/758-why-make-use-of-an-integration-platform-in-today-s-software-developments-and-infrastructure) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)