Senior Snowflake Data Engineer / Technical Lead
About the role
As a Senior Snowflake Data Engineer / Technical Lead, you will make an impact by designing and delivering scalable, high-performance data solutions that support analytics, operational reporting, and business decision-making. You will be a valued member of the Data Engineering team and work collaboratively with business stakeholders, data stewards, architects, analysts, and engineering teams to build modern cloud-based data platforms.
In this role, you will:
- Design, develop, and maintain Snowflake data models, schemas, tables, views, stored procedures, and other database objects.
- Build and optimize scalable data ingestion, transformation, validation, reconciliation, and data quality frameworks.
- Develop advanced SQL and Python-based solutions to support enterprise data engineering and analytics initiatives.
- Drive Snowflake platform performance, workload management, cost optimization, and operational excellence.
- Collaborate with cross-functional teams to translate business requirements into scalable technical solutions while ensuring adherence to data governance, security, and compliance standards.
- Provide technical leadership, mentoring, and guidance to data engineers and developers.
- Participate in architecture reviews, code reviews, testing, deployment planning, and production support activities.
- Support project planning, estimation, technical governance, and continuous improvement initiatives.
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 2 days per week in a Cognizant office in Dallas, TX or Boston, MA. 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
- 10+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering.
- 5+ years of hands-on experience with Snowflake development and architecture.
- Strong expertise in Snowflake architecture, data modeling, and performance optimization.
- Advanced SQL development and Python programming experience.
- Proven experience building enterprise-scale ETL/ELT pipelines and analytics solutions.
- Hands-on experience with data quality, data profiling, validation, reconciliation, and exception management processes.
- Strong understanding of data governance, metadata management, data security, and access management best practices.
- Experience collaborating with business users, data stewards, analysts, architects, and engineering teams.
- Ability to troubleshoot and resolve complex data engineering and platform performance issues.
- Strong communication, stakeholder management, and technical leadership skills.
These will help you stand out
- Experience with Snowpark and modern Python-based data engineering frameworks.
- Experience implementing enterprise data quality platforms, controls, and monitoring solutions.
- Knowledge of cloud-native data architectures and modern data platform ecosystems.
- Exposure to AI/ML applications in data engineering, metadata management, or data quality automation.
- Experience within Banking, Financial Services, Insurance, or other highly regulated industries.
- Demonstrated success mentoring engineers and driving engineering best practices across delivery teams.
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
Salary and Other Compensation:
Applications will be accepted until August 15, 2026.
The annual salary for this position is between $88,000 - $150,000 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。
