> Markdown version of [/jobs/ext/3463984-data-architect-snowflake-talend-ai-data-processing](https://www.wearedevelopers.com/jobs/ext/3463984-data-architect-snowflake-talend-ai-data-processing). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect (Snowflake / Talend / AI Data Processing) - **Company:** Randstad - **Location:** Irving, TX, United States - **Experience:** Expert - **Salary:** $159,453.0 - $180,253.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Warehousing, Performance Tuning, Talend, Teradata SQL, Snowflake, Integration Frameworks, Data Management, Data Pipelines - **Published:** September 2, 2026 - **Apply:** https://www.dice.com/job-detail/1a4c79cf-2517-48d6-8a39-7cdf54d60d49 ## About the Role 8+ years of hands-on experience in enterprise data architecture and engineering. Advanced expertise with Snowflake Data Warehouse and Talend integration suite. Deep knowledge of AI data processing workflows, data modeling, and performance optimization. Ability to work on-site 3 days/week in Irving, TX. PREFERRED QUALIFICATIONS Prior experience with Teradata SQL architectures. Proven leadership capabilities in guiding cross-functional delivery teams and establishing governance standards. ## Description Join our enterprise data and analytics team as a Senior Data Architect leading the evolution of modern cloud data platforms and integration architectures. In this role, you will design and govern high-performing enterprise data models, build scalable Talend pipelines, and leverage Snowflake to power cutting-edge AI and business analytics solutions., * Architect and scale enterprise data solutions leveraging Snowflake, Teradata, and AI data processing frameworks. * Design and optimize robust ETL/ELT pipelines utilizing Talend to ensure seamless data movement and reliability. * Partner with cross-functional leadership to translate business requirements into future-proof technical architectures. * Establish standards for data governance, quality, security, and performance across enterprise systems.