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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Snowflake Data Engineer / Technical Lead - **Company:** Cognizant Technology Solutions Corporation - **Location:** Dallas, TX, United States - **Experience:** Expert - **Salary:** $88,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Code Review, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Profiling, Data Security, Data Systems, Data Warehousing, Identity and Access Management, Python (Programming Language), Machine Learning, Meta-Data Management, Performance Tuning, Cloud Services, SQL Stored Procedures, Data Ingestion, Sql Optimization, Snowflake, Data Management, Data Pipelines - **Published:** July 16, 2026 - **Apply:** https://dejobs.org/x/x/AB19014BD0444B4EB0E8BCF3F4AC9D7C/job/ ## About the Role * 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 ## Description 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Are Code Reviews Worth It? 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