Data - 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 Job Overview Summary - The Lead Data Architect 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. 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. Basic Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field. - 10+ years of experience in data engineering and architecture, with a proven track record of leading large-scale data initiatives. - Deep expertise in Python, Spark, and Databricks (Delta Lake, MLflow). - Strong experience with orchestration tools (Airflow, Prefect, Dagster) and cloud platforms (AWS, Azure, GCP). - Demonstrated success in architecting and deploying AI/ML pipelines in production. - Strong understanding of data governance, privacy, and compliance in regulated industries (healthcare, life sciences). - Preferred Qualifications - Experience with event-driven architectures (Kafka, Kinesis) and real-time data processing. - 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. - Would you like this formatted into a PDF or Word document for sharing or posting I can also help tailor it further for a specific industry or team structure. Mandatory Competencies Development Tools and Management - Development Tools and Management - CI/CD Tech - Agile Methodology Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Middleware - Message Oriented Middleware - Messaging (JMS, ActiveMQ, RabitMQ, Kafka, SQS, ASB etc) Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Big Data - Big Data - SPARK DevOps/Configuration Mgmt - Cloud Platforms - AWS DevOps/Configuration Mgmt - Cloud Platforms - GCP Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight 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.