Snowflake Architect

Cognizant; United States; On-site; USD 124,000 - 175,000; Full time

Benefits offered by this job

401(k) plan

Long-term/Short-term Disability

Employee Stock Purchase Plan

Job summary

Cognizant is seeking an experienced Solution Architect to lead the design and modernization of enterprise data platforms centered on Snowflake and AWS. You will define target-state architectures, migrate from SSIS/SQL Server, and enable advanced analytics, AI, and BI capabilities.

The role requires deep Snowflake, AWS, Talend, Streamlit, and Cortex experience, plus governance-focused design, secure data sharing, and scalable patterns. You will mentor engineers and collaborate with stakeholders.

Qualifications

• 12+ years of experience in Data Architecture, Data Engineering, Cloud Platforms, or Enterprise Analytics.
• Deep expertise in Snowflake, 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 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.

Responsibilities

• Design enterprise-scale cloud data architectures leveraging Snowflake, AWS, Talend, Streamlit, Snowflake Cortex AI, and Cortex Analyst capabilities.

Skills

Snowflake architecture

AWS

ETL/ELT

SQL proficiency

AI governance

Stakeholder mgmt

Tools

Snowpipe

Talend

Streamlit

Cortex AI

Job description

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

Job Summary

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.

What you need to have to be considered

• 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.

Applications will be accepted until 28 Oct 2026.

Salary and Other Compensation:

The annual salary for this position is between $[124,062 - 174,500] depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• 401(k) plan and contributions
• Long-term/Short-term Disability
• Employee Stock Purchase Plan

Additional employment information

Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [e-mail] for roles based in the Americas or [e-mail] for roles based in India.

About Cognizant:

Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.