Job Summary

This hybrid role for a technical lead focuses on designing and implementing scalable data architecture solutions that enable advanced analytics and business intelligence. The role spans data visualization cloud data warehouse engineering data modeling DevOps practices and Python based development. The technical lead will drive robust data platforms that empower stakeholders to make informed decisions and create measurable value for clients and society.

Responsibilities

Design and guide end to end data architecture solutions that connect source systems to cloud data warehouse platforms and analytics tools to deliver reliable insights for business decision making.
Lead the creation of enterprise grade data models that support reporting self service analytics and advanced data products while ensuring consistency performance and scalability.
Develop and optimize Python based data pipelines that ingest transform and validate data from diverse sources to maintain high standards of data quality and timeliness.




Apply DevOps practices across analytics and data engineering workflows by automating build test and deployment processes for data services and visual analytics assets.
Implement and maintain cloud data warehouse structures including schemas tables views and access patterns to support efficient querying and downstream data visualization.
Create and refine interactive data visualization solutions using modern tools that translate complex datasets into explicit narratives for business and operations teams.
Collaborate with product owners and domain experts to translate requirements into technical designs that balance performance cost and future extensibility of data platforms.
Establish and enforce coding standards data modeling conventions and data governance practices that improve reliability and reusability of analytics assets across projects.
Optimize query performance and storage strategies in cloud data warehouse environments to reduce processing time

📌 Technical Lead (India)
🏢 Cognizant
📍 India