Senior Snowflake Data Engineer / Technical Lead

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.

Sobre a Cognizant
Cognizant (NASDAQ: CTSH) é uma construtora de IA e fornecedora de serviços de tecnologia, criando a ponte entre o investimento em IA e o valor para as empresas por meio do desenvolvimento de soluções de IA completas para nossos clientes. Nossa profunda experiência em setores, processos e engenharia nos permite incorporar o contexto único de cada organização em sistemas tecnológicos que potencializam a capacidade humana, geram resultados tangíveis e mantêm empresas globais à frente em um mundo em rápida transformação. Saiba mais em cognizant.ai ou @cognizant.

A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.

Informações adicionais de emprego 
Os candidatos podem ser obrigados a comparecer a entrevistas presenciais ou por videoconferência. Além disso, os candidatos podem ser obrigados a apresentar seu documento de identificação emitido pelo estado ou governo atual durante cada entrevista. 

Embora nosso sistema permita a candidatura em todos os idiomas, o(s) idioma(s) e o(s) nível(is) de proficiência exigidos para o trabalho variam. No entanto, é necessário um nível básico de inglês para fins de comunicação em toda a empresa. 

A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.

Se você tem uma deficiência que requer adaptações razoáveis para procurar uma vaga de emprego ou enviar uma candidatura, envie um e-mail para [email protected] com sua solicitação e informações de contato.