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.
Over Cognizant
Cognizant (NASDAQ: CTSH) is een bouwer van AI-oplossingen en een leverancier van technologiediensten. Wij slaan de brug tussen AI-investeringen en ondernemingswaarde door het bouwen van full-stack AI-oplossingen voor onze klanten. Onze diepgaande kennis van sectoren, processen en engineering stelt ons in staat om de unieke context van een organisatie te verankeren in technologische systemen. Deze systemen versterken het menselijk potentieel, realiseren tastbare resultaten en geven wereldwijde ondernemingen een voorsprong in een snel veranderende wereld. Ontdek hoe op cognizant.ai of @cognizant.
Aanvullende arbeidsinformatie
De informatie over de beloning is correct op de datum van deze vacature. Cognizant behoudt zich het recht voor om deze informatie op elk moment te wijzigen, met inachtneming van de toepasselijke wetgeving.
Van sollicitanten kan worden verwacht dat zij gesprekken bijwonen, persoonlijk of via een videogesprek. Daarnaast kan van kandidaten worden gevraagd om tijdens elk gesprek een geldig, door de overheid uitgegeven identiteitsbewijs (zoals een identiteitskaart of paspoort) te tonen.
Cognizant is een werkgever die gelijke kansen biedt. Je sollicitatie en kandidatuur worden niet beoordeeld op basis van ras, huidskleur, geslacht, religie, levensovertuiging, seksuele geaardheid, genderidentiteit, nationale afkomst, handicap, genetische informatie, zwangerschap, veteranenstatus of enige andere eigenschap die wordt beschermd door federale, regionale of lokale wetgeving.
