Posted On 29 Jan 2026 Location Noida UP India Company Iris Software Why Join Iris Are you ready to do the best work of your career at one of India s Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture that truly values your talent and ambitions Join Iris Software one of the fastest-growing IT services companies where you own and shape your success story About Us At Iris Software our vision is to be our client s most trusted technology partner and the first choice for the industry s top professionals to realize their full potential With over 4 300 associates across India U S A and Canada we help our enterprise clients thrive with technology-enabled transformation across financial services healthcare transportation logistics and professional services Our work covers complex mission-critical applications with the latest technologies such as high-value complex Application Product Engineering Data Analytics Cloud DevOps Data MLOps Quality Engineering and Business Automation Working with Us At Iris every role is more than a job it s a launchpad for growth Our Employee Value Proposition Build Your Future Own Your Journey reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it We foster a culture where your potential is valued your voice matters and your work creates real impact With cutting-edge projects personalized career development continuous learning and mentorship we support you to grow and become your best both personally and professionally Curious what it s like to work at Iris Head to this video for an inside look at the people the passion and the possibilities Watch it here The Lead Data Engineer is a strategic and technical leadership role responsible for architecting scaling and evolving enterprise-grade data platforms that enable advanced analytics AI ML and data-driven decision-making Reporting to the Senior Director of Data Platforms this role will lead the design and governance of modern data architectures drive innovation in AI orchestration and ensure the delivery of secure compliant and high-performing data solutions This position combines hands-on engineering expertise with architectural vision and cross-functional leadership The Lead Data Architect will guide engineering teams influence platform strategy and establish best practices across the organization s data ecosystem Basic Qualifications Bachelor s or Master s degree in Computer Science Engineering Data Science or related field 8 years of experience in data engineering and architecture with a proven track record of leading large-scale data initiatives Deep expertise in Python PySpark Strong hands-on experience with Databricks Spark Delta Lake Workflows Strong experience with AWS S3 IAM Textract Bedrock or equivalent Demonstrated success in architecting and deploying AI ML pipelines in production Experience with design and implement scalable document ingestion pipelines using Databricks Auto Loader and AWS S3 Understanding of vector embeddings and semantic search Strong understanding of data governance privacy and compliance in regulated industries healthcare life sciences Preferred Qualifications Advanced knowledge of data modeling lakehouse lake warehouse design and performance optimization Familiarity with generative AI platforms and use cases Contributions to open-source projects or thought leadership in data engineering architecture Experience with Agile methodologies CI CD and DevOps practices Exposure to FastAPI or API-based ML services Experience evaluating LLM output quality Key Responsibilities Architect Scalable Data Platforms Design and oversee implementation of robust data lakehouse data mesh and real-time streaming architectures to support enterprise analytics and AI ML initiatives Lead Engineering Teams Provide technical leadership and mentorship to data engineers fostering a culture of excellence innovation and continuous improvement AI ML Enablement Collaborate with Data Science and ML Engineering teams to operationalize models implement AI orchestration frameworks e g MLflow Airflow and ensure scalable deployment pipelines Platform Strategy Governance Define and enforce architectural standards data governance policies and compliance frameworks HIPAA SOC 2 GDPR etc across the data platform Performance Reliability Optimization Drive observability automation and performance tuning across data pipelines and infrastructure to ensure reliability at scale Cross-Functional Collaboration Partner with product analytics compliance and infrastructure teams to align data architecture with business goals and regulatory requirements Innovation Thought Leadership Stay ahead of industry trends evaluate emerging technologies and contribute to strategic decisions on platform evolution including generative AI integration and event-driven systems Mandatory Competencies Cloud - AWS - AWS S3 S3 glacier AWS EBS Development Tools and Management - Development Tools and Management - CI CD Beh - Communication Big Data - Big Data - Pyspark Data Science and Machine Learning - Data Science and Machine Learning - Python Data Science and Machine Learning - Data Science and Machine Learning - AI MLPerks and Benefits for Irisians Iris provides world-class perks for a personalized employee experience These benefits are designed to support financial health and well-being needs of Irisians for a holistic professional and personal growth Click here to view the benefits

📌 Data Engineer - Lead (Uttar Pradesh)
🏢 Recognized
📍 Uttar Pradesh