Principal Data Architect

Company Description Aays is a fast-growing data science and artificial intelligence firm that collaborates with Fortune 1000 companies to deliver innovative data-driven solutions. Renowned for its expertise in leveraging AI to address complex challenges, Aays takes pride in making data more actionable and impactful for its clients. With a commitment to driving business transformation, Aays is dedicated to empowering organizations with insights and strategies that promote growth and innovation. Your team You will act as a key member of the consulting team helping Clients to re-invent their corporate finance function by leveraging advanced analytics. You will be closely working directly with senior stakeholders of the clients designing and implementing data strategy in finance space which includes multiple use cases viz. controllership, FP&A and GPO. You will be responsible for developing technical solutions to deliver scalable analytical solutions leveraging cloud and big data technologies. You will also collaborate with Business Consultants and Product Owners to design and implement technical solutions. Communication and organisation skills are keys for this position. Responsibilities : Design and drive end-to-end data and analytics solution architecture from concept to delivery on Google Cloud Platform (Azure and GCP) Design, develop, and support conceptual, logical, and physical data models for advanced analytics and ML-driven solutions Ensure integration of industry-accepted data architecture principles, standards, guidelines, and concepts with other domains, along with coordinated roll-out and adoption strategies Drive the design, sizing, provisioning, and setup of Azure and GCP environments and related services such as BigQuery, Dataflow, and Cloud Storage Provide mentoring and guidance on Azure and GCP-based data architecture to engineering, analytics, and business teams Review solution requirements and architecture