About the role
As a Sr. Snowflake Technical Lead, you will make an impact by leading the design, implementation, and optimization of enterprise-scale cloud data platforms built on Snowflake and AWS. You will be a valued member of the Data & Analytics team and work collaboratively with client stakeholders, architects, business leaders, and global delivery teams to deliver scalable, secure, and high-performing data solutions.
In this role, you will:
- Lead the architecture, design, and implementation of enterprise Snowflake Data Warehouse and Lakehouse solutions.
- Partner directly with clients to facilitate solution workshops, architecture discussions, and requirements discovery sessions.
- Drive technical leadership across global onsite and offshore teams, ensuring high-quality delivery and adherence to project timelines.
- Establish and promote best practices for data engineering, data modeling, governance, security, performance optimization, and cost management.
- Provide hands-on leadership in Snowflake, dbt, AWS, Python, and modern data engineering technologies while mentoring engineering teams.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring associate presence in a client or Cognizant office in Charlotte, North Carolina, as determined by project and business needs. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- 12+ years of experience in data engineering, data warehousing, and cloud data platform delivery.
- 5+ years of hands-on experience designing and implementing Snowflake solutions in enterprise environments.
- Strong expertise in data warehousing concepts, dimensional modeling, star and snowflake schemas, Data Vault, and Lakehouse architectures.
- Hands-on experience with dbt, including model development, testing, deployment automation, and data transformation frameworks.
- Strong experience with AWS data services including S3, Glue, Lambda, Athena, Step Functions, IAM, and CloudWatch.
- Advanced SQL development and query optimization experience.
- Proficiency in Python for data processing, automation, integrations, and data quality frameworks.
- Experience leading distributed onsite-offshore teams in Agile delivery environments.
- Strong client-facing communication, stakeholder management, and consulting skills.
- Proven ability to translate business requirements into scalable technical solutions and lead architecture discussions.
These will help you stand out
- Snowflake SnowPro Certification.
- AWS Certification, such as Solutions Architect or Data Engineer.
- Experience implementing Snowflake security, RBAC, governance, data sharing, and cost optimization frameworks.
- Experience with orchestration tools such as Apache Airflow.
- Experience with CI/CD tools including Azure DevOps, GitHub Actions, GitLab CI, or Jenkins.
- Experience supporting Banking, Financial Services, Insurance, or Healthcare clients.
- Experience contributing to solutioning, estimations, proposals, and pre-sales activities.
- Demonstrated success mentoring engineers and establishing technical standards and best practices across organizations.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Salary and Other Compensation:
Applications will be accepted until August 09, 2026.
The annual salary for this position is between $ 150,000 - $ 175,000 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.
Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
Zusätzliche Informationen zur Beschäftigung
Die Vergütungsinformationen sind zum Zeitpunkt der Veröffentlichung dieser Stellenausschreibung korrekt. Cognizant behält sich das Recht vor, diese Informationen jederzeit unter Beachtung der geltenden gesetzlichen Bestimmungen zu ändern.
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