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.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
