Job Description, Responsibilities & Requirements
About the Position
We are seeking an experienced Snowflake Architect to lead the design and governance of enterprise-scale data platforms and analytics solutions. The role will serve as the primary technical authority for the data engagement, owning the end-to-end data architecture across ingestion, transformation, storage, modelling, and consumption layers.
Responsibilities
- Own and govern the end-to-end data architecture strategy across data ingestion, processing, storage, modelling, and consumption.
- Serve as the primary technical authority for all data architecture decisions and solution designs.
- Define data platform standards, architecture principles, and best practices across the organization.
- Design scalable, secure, and high-performing data solutions on AWS and Snowflake.
- Establish data models, data lineage, metadata management, and governance frameworks.
- Evaluate, recommend, and implement appropriate data tools, platforms, and integration technologies.
- Design and oversee data ingestion patterns using modern ELT/ETL frameworks and cloud-native services, including tools such as Fivetran and Coalesce.
- Collaborate with business stakeholders, product owners, data engineers, and analytics teams to translate business requirements into architectural solutions.
- Ensure compliance with security, privacy, regulatory, and enterprise governance requirements.
- Lead architecture reviews, design workshops, and technical decision-making forums.
- Define non-functional requirements including scalability, reliability, performance, monitoring, and disaster recovery.
- Guide engineering teams through implementation and provide technical leadership and mentorship.
- Support AI/ML initiatives by designing data foundations and machine learning architectures leveraging SageMaker.
Requirements
- Strong expertise in AWS, Snowflake, and SageMaker.
- Deep understanding of modern data architectures, cloud-native platforms, and data governance practices.
- Experience in data modelling, data lineage, and metadata management.
- Proven track record in designing and implementing scalable data solutions.
We Offer
- Opportunity to learn and collaborate with some of the most talented people in the industry.
- Innovative career tracks and professional development opportunities.
- Comprehensive compensation, benefits, and wellness packages.
- Flexible working options where possible.
About the Company
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 follow us on Twitter.
Next Steps
Please reach out to our friendly and welcoming team today to apply and register your interest for this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.
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.