Technical Lead – Snowflake & PySpark (Data Engineering)
Location: Hybrid
Experience: 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
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
