10+ years About Cognizant Cognizant is a leading global professional services company, helping organizations modernize technology, reimagine processes, and transform experiences. With deep expertise in data, AI, and cloud, we enable enterprises to build scalable, future-ready platforms that deliver measurable business value. Role Overview We are seeking a highly skilled Snowflake & PySpark Technical Lead to drive the design and delivery of modern data platforms. In this role, you will architect and lead the development of high-performance data pipelines , enabling analytics, AI/ML models, and business-critical applications at scale. You will collaborate across teams, mentor engineers, and ensure the platform meets enterprise standards for performance, governance, and scalability. Key Responsibilities Architecture & Data Platform Engineering Lead the design and implementation of enterprise-scale data solutions using Snowflake and PySpark Architect scalable, high-performance ETL/ELT pipelines for batch and real-time processing Define data models, storage strategies, and processing frameworks to support analytics and AI use cases Performance Optimization & Scalability Optimize Snowflake performance , including query tuning, warehouse sizing, and cost management Enhance large-scale distributed data processing using PySpark Ensure solutions meet performance, scalability, and reliability requirements Data Integration & Ecosystem Oversee integration with upstream/downstream systems , including APIs, streaming platforms, and BI tools Build robust data ingestion and transformation frameworks Ensure seamless data flow across enterprise systems Data Governance & Security Implement data governance, security, and compliance frameworks in Snowflake Enforce best practices for data quality, access control, and auditing Ensure alignment with organizational and regulatory standards Collaboration & Stakeholder Engagement Partner with data scientists, analysts, and business stakeholders to translate requirements into scalable solutions Bridge technical and business perspectives to deliver high-value data products Leadership & Mentorship Lead and mentor data engineers, fostering a culture of technical excellence and continuous learning Conduct code reviews and guide adoption of best practices in data engineering and DevOps Innovation & Continuous Improvement Stay current with emerging technologies in cloud data platforms and big data processing Recommend and implement innovations to keep the platform modern and competitive Required Qualifications 10+ years of experience in data engineering , with at least 3 years in a technical leadership role Deep expertise in Snowflake , including data modeling, query optimization, and warehouse scaling Strong hands-on experience with PySpark for distributed data processing Advanced proficiency in SQL and Python Experience with cloud platforms (AWS, Azure, or GCP) and associated data services Proven ability to design and deliver scalable, production-grade data platforms Strong communication skills with the ability to influence both technical and business stakeholders Preferred Qualifications Experience with real-time/streaming technologies (Kafka, Spark Streaming, etc.) Knowledge of data governance frameworks and regulatory compliance Familiarity with CI/CD pipelines and DevOps practices for data platforms Experience working in enterprise-scale, global environments Exposure to AI/ML data pipelines and feature engineering
Compensation Base Salary Range:
$120,000 - $135,000 per year Final compensation is based on experience, skills, and location Eligible for performance-based bonuses and incentive pay Benefits Cognizant offers a comprehensive benefits package to support your health, wealth, and career growth:
Health & Wellness:
Medical, dental, and vision insurance
Financial Security:
401(k) with company match, life and disability insurance
Time Off:
Generous PTO, holidays, and parental leave
Learning & Development:
Certification support, upskilling programs, and career progression opportunities
Flexible Work Model:
Hybrid work environment promoting work-life balance
Employee Experience:
Wellness programs, employee resource groups, and recognition initiatives Why Join Cognizant? Lead the development of cutting-edge data platforms powering AI and analytics Work with global clients and high-performing teams Drive innovation in a fast-growing, cloud-first data ecosystem Be part of a culture that values inclusion, collaboration, and impact
