Technical Architect

Job Description Why Join Iris Are you ready to do the best work of your career at one ofIndia's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture thattruly values your talent and ambitions Join Iris Software - one of thefastest-growing IT services companies- whereyou 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 . Job Description Data Services Architectto work and lead the design and implementation of data architecture solutions for a logistics enterprise. This role requires a good understanding of canonical architecture patterns, medallion (bronze-silver-gold) data architecture, and end-to-end data processing pipelines and enabling analytics-ready data from raw files stored in AWS S3, using Databricks as the core processing platform. The ideal candidate will collaborate closely with business stakeholders to understand domain knowledge. Key Responsibilities: - Canonical Architecture Design - Medallion Architecture Implementation (Databricks) - Raw Data Mapping and Transformation: - Build ingestion pipelines to process raw files from AWS S3 into Bronze layer - Map, and transform raw data into structured canonical formats aligned with logistics business rules - Implement scalableDevOps pipelinesusingPySpark, Delta Lake, andDatabricks Workflows. - Business Engagement: - Work closely with business SMEs, operations teams, and product managers to understand logistics processes, business entities, and KPIs. - Understand the business requirements into data models and semantic layers. - Collaboration & Leadership: - Guide data engineers in the development and maintenance of data pipelines. - Provide architectural oversight and best practices for data processing and integration. Mandatory Competencies Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight Data Science and Machine Learning - Data Science and Machine Learning - Databricks Big Data - Big Data - Pyspark DevOps/Configuration Mgmt - Cloud Platforms - AWS Beh - Communication and collaboration Perks and Benefits for Irisians Iris provides world-class benefits 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 to view the benefits.