Job description

Role Overview: We are seeking an experienced Snowflake Architect/DBT to design, implement, and optimize scalable data solutions on the Snowflake Data Cloud platform. The ideal candidate will have deep expertise in cloud data architecture, data warehousing, ELT/ETL pipelines, and performance tuning, along with strong business acumen to translate data requirements into robust solutions. Key Responsibilities • Design and architect end-to-end data solutions leveraging Snowflake, ensuring scalability, performance, and security • Define and implement data models (dimensional & normalized) optimized for analytics and reporting • Build and optimize data ingestion and transformation pipelines using tools such as Snowpipe, dbt, Informatica, or similar • Lead Snowflake platform setup, including • Account structure • Role-based access control (RBAC)Security & governance • Optimize query performance, cost management, and warehouse sizing within Snowflake • Establish data governance, data quality, and metadata management frameworks • Collaborate with business stakeholders, data engineers, and BI teams to deliver data-driven solutions • Provide guidance and best practices on : • Data architecture • Data integration • Data lifecycle management • Monitor system performance and troubleshoot data-related issues • Stay updated with Snowflake features and recommend improvement Required Skills & Qualifications Technical Skill • Strong expertise in Snowflake Data Cloud architecture and administration • Must have DBT • Experience with cloud platforms: AWS / Azure / GC • Proficiency in SQL and advanced query optimization technique • Hands-on experience with ETL/ELT tools (Informatica, Talend, dbt, Matillion, Azure Data Factory, etc.) • Knowledge of data modeling techniques (Star Schema, Snowflake Schema, Data Vault) • Experience with data lakes and hybrid architectures • Familiarity with data governance, security, and compliance frameworks • Experience with CI/CD pipelines and DevOps practices in data environments Preferred Skills • Snowflake certifications (e.g., SnowPro Advanced Architect) • Experience with streaming technologies (Kafka, Kinesis) • Knowledge of Python / PySpark / Scala • Exposure to BI tools such as Power BI, Tableau, Looker • Experience working in Agile/Scrum environments Soft Skills • Strong problem-solving and analytical skills • Excellent communication and stakeholder management • Ability to lead architectural discussions and mentor teams • Strategic thinking with attention to detail We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply—even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out. Salary and Other Compensation: Applications will be accepted until Oct 16, 2026, The annual salary for this position is between $ 90,000 - $ 160,000 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: • Medical/Dental/Vision/Life Insurance • Paid holidays plus Paid Time Off • 401(k) plan and contributions • Long-term/Short-term Disability • Paid Parental Leave • Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits 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. 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. 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. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

Design and architect end-to-end data solutions leveraging Snowflake, ensuring scalability, performance, and security
Define and implement data models (dimensional & normalized) optimized for analytics and reporting
Build and optimize data ingestion and transformation pipelines using tools such as Snowpipe, dbt, Informatica, or similar
Lead Snowflake platform setup, including
Account structure
Role-based access control (RBAC)Security & governance
Optimize query performance, cost management, and warehouse sizing within Snowflake
Establish data governance, data quality, and metadata management frameworks
Collaborate with business stakeholders, data engineers, and BI teams to deliver data-driven solutions
Data architecture
Data integration
Data lifecycle management
Monitor system performance and troubleshoot data-related issues
Stay updated with Snowflake features and recommend improvement
Required Skills & Qualifications

Nice-to-haves

Snowflake certifications (e.g., SnowPro Advanced Architect)
Experience with streaming technologies (Kafka, Kinesis)
Knowledge of Python / PySpark / Scala
Exposure to BI tools such as Power BI, Tableau, Looker
Experience working in Agile/Scrum environments
Strong problem-solving and analytical skills
Excellent communication and stakeholder management
Ability to lead architectural discussions and mentor teams
Strategic thinking with attention to detail

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awsazuresqlci/cdpythonagilescrumai

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave