Data Platform Engineering Lead
Level: M / SA
Role Overview
A hands-on technical lead responsible for building AI-ready enterprise data platforms, including scalable pipelines, lakehouse architectures, and governed data foundations that enable model training, evaluation, and inference. The role extends to backend services and integration layers that expose curated datasets, feature stores, and data products for AI/ML and LLM-driven applications.
Key Responsibilities
1. Build & Deploy Data Platform Solutions
· Design and develop data pipelines for batch and streaming workloads using Python and Spark/PySpark
· Build and manage AI-ready datasets, feature pipelines, and training data foundations
· Develop backend services and APIs (Python – FastAPI or equivalent) to expose data products
· Implement microservices and event-driven architectures for data ingestion, processing, and serving
· Ensure the platform is scalable, performant, and maintainable
· Mentor engineers on data engineering patterns and best practices.
2. Enable AI/ML & LLM Integration
· Develop AI-ready pipelines for model training, evaluation, and inference
· Enable feature store capabilities and reproducible datasets
· Support integration with LLM/AI services (RAG, embeddings, inference APIs)
· Enable data-to-AI pipelines including vectorization and retrieval workflows.
3. Oversee Implementation on Cloud Infrastructure
· Collaborate with infra teams on Azure, AWS, or GCP
· Build and integrate data lakes, lake-houses, SQL/NoSQL systems
· Enable integration between data platforms and AI/ML systems
· Implement containerized and serverless architectures.
4. Implement Modern Software Engineering Practices
· Implement CI/CD pipelines and observability
· Define and enforce data quality frameworks
· Support metadata, lineage, and governance
· Optimize platform performance, reliability, and scalability.
Required Capabilities / Skills / Experience
· 8+ years in data engineering and backend development
· Strong Python, APIs, and microservices experience
· Deep experience in Spark/PySpark or equivalent
· Expertise in ETL/ELT pipelines and lakehouse architectures
· Experience with feature stores and AI-ready datasets
· Experience with Azure/AWS/GCP
· Familiarity with Docker, Kubernetes, CI/CD
· Familiarity with LLM/GenAI integration patterns
· Familiarity with metadata and governance tooling
· Strong system design and problem-solving skills.
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
