ABOUT US Cognizant is one of the world s leading qualified services companies transforming clients business operating and technology models for the digital era Our unique industry-based consultative approach helps clients envision build and run more innovative and efficient businesses Headquartered in the U S Cognizant a member of the NASDAQ-100 is consistently listed among the most admired companies in the world Learn how Cognizant helps clients lead with digital at www cognizant com LEADING AT COGNIZANT This is a Leadership role at Cognizant We believe how you lead is as important as what you deliver Cognizant leaders at every level Drive our business strategy and inspire teams around our future Live the leadership behaviors leading themselves others and the business Uphold our Values role modeling them in every action and decision Nurture our people and culture creating a workplace where all can thrive At Cognizant leadership transcends titles and is embodied in actions and behaviors We empower our leaders at every level to drive business strategy inspire teams uphold our values and foster an inclusive culture We invite you to see how you can contribute to our story ROLE SUMMARY Solutioning lead for Data Engineering - Azure and Databricks as primary stack ROLE RESPONSIBILITIES Architecture and Solutioning on Azure databricks data platforms expertise on architecture patterns - data warehosue lakehouse data fabric and datamesh Sizing Estimation and Implementation plan for solutioning Solution Prototyping Advisory and orchestrating in-person remote workshops Work with hyperscalers and platform vendors to understand and test platform roadmaps and develop joint solutions Own end-to-end solutions working across various teams in Cognizant - Sales Delivery and Global solutioning Own key accounts as Architecture advisory and establish deep client relationships Contribute to practice by developing reusable assets and solutions JOB REQUIREMENTS Bachelor s or Master s degree in computer science engineering information systems or a related field Minimum 15 years experience as Solution Architect designing and developing data architecture patterns Minimum 5-year hands-on experience in building Databricks based solutions Minimum 3 years experience as Solution Architect in pre-sales team driving the sales process from a technical solution standpoint Excellent verbal and written communication skills with ability to present complex Cloud Data Architecture solutions concepts to technical and executive audience leveraging PPTs Demos and Whiteboard Deep expertise in designing Azure and Databricks Strong expertise in handling large and complex RFPs RFIs and collaborating with multiple service lines platform vendors in a fast-paced environment Strong relationship building skills and ability to provide technical advisory and guidance Technology architecture implementation experience with deep implementation experience with Data solutions 15 20 years of experience in Data Engineering and 5 Years Data Engineering Experience on cloud data engineering Technology pre sales experience - Architecture Effort sizing Estimation and Solution defense Data architecture patterns- Data Warehouse Data Lake Data Mesh Lake house Data as a product Develop or Co-develop proofs of concept and prototypes with customer teams Excellent understanding of distributed computing fundamentals Experience working with one or more major cloud vendors Deep expertise on End to End Pipeline or ETL development following best practices and including orchestration Optimization of Data pipelines Strong understanding of the full CI CD lifecycle Large legacy migration Hadoop Terdata like experience to Cloud Data platforms Expert level proficiency in engineering optimizing with various data engineering ingestion patterns - Batch Micro Batch Streaming and API Understand imperatives of change data capture with tools best practices POV Architect and Solution Data Governance capability pillars supporting modern data eco system Data services and various consumption archetypes including semantic layers BI tools and AI ML Thought leadership designing self-service data engineering platforms solutions Core Platform - Databricks Ability to engage and offer differing points of view to customers architecture using Databricks platform Strong understanding of the Lake house Architecture Implementation expertise using Delta Lake Security design and implementation on Databricks Scala or pipelines development in multi-hop pipeline architecture Architecture and Implementation experience with Spark and Delta Lake performance tuning including topics such as cluster sizing Preferred skills Gen-AI architecture patterns Data Quality and Data Governance Cloud Cost Monitoring and Optimization

📌 Cloud Data Architect (Tamil Nadu)
🏢 Cognizant Technology Solutions
📍 Tamil Nadu