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.

Responsibilities

• 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.

Requirements

• 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.
• Able to troubleshoot and resolve complex data engineering and platform performance issues.
• Strong communication, stakeholder management, and technical leadership skills.

Qualifications

• 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.

Benefits

• 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.
• 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