Lead Data Engineer – Snowflake
About the role
As a Lead Data Engineer – Snowflake, you will make an impact by designing and delivering scalable, high-performance data solutions that enable critical business insights and operational excellence. You will be a valued member of the Data & Analytics team and work collaboratively with business stakeholders, data architects, analysts, and engineering teams to develop modern cloud-based data platforms that support enterprise reporting, analytics, and decision-making.
In this role, you will:
- Lead the design and implementation of Snowflake-based data solutions that transform raw data into trusted, business-ready information assets.
- Develop and optimize ETL workflows that integrate data from multiple internal and external sources into Snowflake environments.
- Configure and support Snowpipe-based ingestion processes to enable reliable batch and near real-time data integration.
- Design and optimize Snowflake data models, schemas, and SQL workloads to support enterprise analytics and reporting requirements.
- Drive performance tuning, workload optimization, and capacity planning activities across Snowflake environments.
- Implement data quality controls, validation frameworks, and exception handling processes to ensure data accuracy and reliability.
- Collaborate with business and technical stakeholders to translate analytical requirements into scalable data engineering solutions.
- Troubleshoot and resolve data pipeline and platform issues through root cause analysis and continuous improvement initiatives.
- Develop reusable engineering frameworks, coding standards, and best practices that improve delivery speed and solution quality.
- Mentor team members and provide technical guidance on Snowflake, ETL development, data modeling, and engineering best practices.
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, Hartford, CT is the preferred location with a hybrid work model. Qualified candidates located within the Eastern Time Zone may also be considered for a remote work arrangement based on project and business needs.
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
- 8-12 years of experience in Data Engineering, Data Warehousing, ETL Development, or related disciplines.
- Strong hands-on experience with Snowflake, Snowflake SQL, and Snowpipe.
- Proven experience designing and implementing enterprise-scale ETL and data integration solutions.
- Expertise in Snowflake performance tuning, optimization, and workload management.
- Experience designing cloud-based data warehouses and modern analytics platforms.
- Strong SQL development and data modeling skills.
- Experience implementing data quality validation, reconciliation, and monitoring processes.
- Proven ability to lead technical initiatives and collaborate effectively across distributed teams.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
These will help you stand out
- Experience within the Property & Casualty Insurance industry.
- Knowledge of underwriting, claims, policy administration, billing, or insurance analytics data domains.
- Experience supporting near real-time data ingestion and streaming architectures.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Experience establishing enterprise data engineering standards, reusable frameworks, and automation approaches.
- Experience supporting large-scale data modernization initiatives and cloud transformations.
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.
Compensation
Applications will be accepted until November 20, 2026.
The annual salary for this position is between $115,000- $135,000, depending on experience, qualifications, geographic location, and other factors permitted by applicable law.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable compensation plans.
Pay Transparency
The salary range provided reflects Cognizant's good-faith estimate of compensation for this position at the time of posting. Actual compensation offered will be determined based on several factors, including but not limited to relevant experience, technical expertise, certifications, education, internal equity, geographic location, and business needs.
Cognizant is committed to providing competitive compensation and a comprehensive benefits package designed to support the health, well-being, and financial security of our associates.
Benefits
Subject to applicable eligibility requirements, Cognizant offers:
- Medical, Dental, Vision, and Life Insurance
- Paid Holidays and Paid Time Off
- 401(k) Plan with Company Contributions
- Short-Term and Long-Term Disability Coverage
- Paid Parental Leave
- Employee Stock Purchase Plan
- Employee Assistance and Wellbeing Programs
- Training, Certification, and Professional Development Opportunities
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
