> Markdown version of [/jobs/ext/2229642-solution-architect-snowflake-aws-data-platform](https://www.wearedevelopers.com/jobs/ext/2229642-solution-architect-snowflake-aws-data-platform). 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). --- # Solution Architect - Snowflake & AWS Data Platform - **Company:** Cognizant Technology Solutions Corporation - **Location:** Juneau, AK, United States - **Salary:** $124,062.0 - $174,500.0 - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Artificial Intelligence, Amazon Web Services, Data Analysis, ARM Architecture, Cloud Computing, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Dataspaces, Data Warehousing, Meta-Data Management, Microsoft SQL Server, Performance Tuning, Cloud Services, SQL Databases, SQL Server Integration Services, Talend, Enterprise Data Management, Data Logging, Real Time Systems, Data Ingestion, Snowflake, Generative AI, Infrastructure Automation Frameworks, Data Analytics, AWS Data Analytics, Data Management, Streamlit Framework, Software Version Control - **Published:** August 25, 2026 - **Apply:** https://www.juju.com/job/00000000gow73v ## About the Role * 12+ years of experience in Data Architecture, Data Engineering, Cloud Platforms, or Enterprise Analytics solutions. * Deep expertise in Snowflake architecture, data modeling, performance optimization, security, and governance. * Strong experience migrating legacy SQL Server and SSIS environments to Snowflake and cloud-native data platforms. * Hands-on experience with Snowpipe, Snowflake Cortex AI, Cortex Analyst, Cortex Search, Streamlit, and advanced Snowflake capabilities. * Strong knowledge of AWS services supporting data platforms, analytics, integration, and infrastructure automation. * Experience with Talend, ETL/ELT frameworks, data ingestion patterns, and large-scale enterprise integrations. * Advanced proficiency in SQL, data warehousing concepts, semantic modeling, and data quality management. * Experience designing observability, monitoring, logging, and incident management capabilities for enterprise data platforms. * Strong understanding of AI/ML enablement, Generative AI use cases, and responsible AI governance within data platforms. * Knowledge of SOX compliance, enterprise data governance, metadata management, lineage, and audit controls. * Strong stakeholder management, executive communication, mentoring, and consulting skills. * Snowflake certifications, AWS certifications, or cloud architecture certifications are highly preferred. ## Description We are seeking an experienced Solution Architect to lead the design and modernization of enterprise data platforms centered on Snowflake and AWS. This role will be responsible for defining target-state architectures, leading migrations from SSIS and SQL Server environments, and enabling advanced analytics, AI, and business intelligence capabilities. The ideal candidate will possess deep expertise in Snowflake, AWS, Talend, Streamlit, and Snowflake Cortex technologies, with a strong focus on building scalable, secure, and governance-driven data platforms. This position requires a blend of architecture leadership, data engineering expertise, AI enablement, and stakeholder engagement. In this role, you will: * Design enterprise-scale cloud data architectures leveraging Snowflake, AWS, Talend, Streamlit, Snowflake Cortex AI, and Cortex Analyst capabilities. * Lead migration initiatives from legacy SSIS and SQL Server environments to modern Snowflake-based data platforms. * Develop scalable data models, schemas, and architecture patterns optimized for performance, scalability, resilience, and cost efficiency. * Define and implement data ingestion frameworks using Snowpipe, Talend, and AWS services to support batch and near real-time processing. * Architect and standardize Snowflake SQL transformation patterns, business rules, data quality controls, and reconciliation frameworks. * Design secure data-sharing models, access controls, governance frameworks, and privacy-by-design architectures across Snowflake and AWS environments. * Build solution blueprints for Snowflake Cortex AI, Cortex Search, Cortex Analyst, and Generative AI-enabled analytics capabilities. * Guide the development of Streamlit applications and AI-driven interfaces for business users, analysts, and data consumers. * Establish standards for deployment, testing, CI/CD, version control, monitoring, observability, and operational excellence. * Collaborate with product owners, engineering teams, business stakeholders, and enterprise architects to align platform roadmaps with business goals. * Mentor architects and senior engineers, conduct architecture reviews, and promote engineering best practices and continuous improvement. * Ensure compliance with SOX, data governance, security, audit, and regulatory requirements across the data ecosystem. ## 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) - [Harnessing the Power of Open Source's Newest Technologies](https://www.wearedevelopers.com/videos/1448-harnessing-the-power-of-open-source-s-newest-technologies) - [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) - [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) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-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) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)