Principal Data Architect

As a Principal Data Architect, you will play a crucial role in shaping and advancing the enterprise data architecture. Your responsibilities will include defining the data architecture strategy aligned with business objectives, designing scalable and secure data pipelines and platforms, overseeing data integration from various sources, maintaining data model integrity, implementing data governance frameworks, and ensuring compliance with regulatory standards.

You will lead data engineering teams in building robust data pipelines using tools like Apache Spark, Airflow, and Kafka. Your expertise in data modelling, distributed systems, cloud-native data platforms, data governance, and AI/ML pipelines will be essential for this role. Collaboration with stakeholders from multiple departments, presentation of architectural decisions to executive stakeholders, and participation in the company's digital and AI-first journey are key aspects of this position.

To be successful in this role, you should have over 12 years of experience in data architecture, engineering, or analytics roles, a deep understanding of data modelling and modern data stack tools, familiarity with cloud-native data platforms, strong knowledge of data governance and security frameworks, and hands-on experience with AI/ML pipelines. Additionally, having a background in the financial services domain, excellent communication skills, and relevant certifications will be advantageous.

If you are looking to be part of a dynamic team driving AnandRathi's digital and AI-first future, collaborating with industry experts, and working on enterprise-scale systems in the BFSI space, this role could be the perfect fit for you. Join AnandRathi and contribute to building a cutting-edge data ecosystem that powers innovation and growth across the organization.,