HMH is a learning technology company committed to delivering connected solutions that engage learners, empower educators and improve student outcomes. As a leading provider of K:12 core curriculum, supplemental and intervention solutions, and professional learning services, HMH partners with educators and school districts to uncover solutions that unlock students' potential and extend teachers' capabilities. HMH serves more than 50 million students and 4 million educators in 150 countries. HMH Technology India Pvt. Ltd. is our technology and innovation arm in India focused on developing novel products and solutions using cutting:edge technology to better serve our clients globally. HMH aims to help employees grow as people, and not just as professionals. For more information, visit hmhco The data architect is responsible for designing, creating, and managing an organization's data architecture. This role is critical in establishing a solid foundation for data management within an organization, ensuring that data is organized, accessible, secure, and aligned with business objectives. The data architect designs data models, warehouses, file systems and databases, and defines how data will be collected and organized. Responsibilities stylemargin:bottom:11.0px: : Interprets and delivers impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps : Designs the structure and layout of data systems, including databases, warehouses, and lakes : Selects and designs database management systems that meet the organization's needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures : Defines and implements the long:term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms : Designs processes for the ETL process from various sources into the organization's data systems : Translates high:level business requirements into data models and appropriate metadata, test data, and data quality standards : Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer:term strategic roadmaps : Simplifies the existing data architecture, delivering reusable services and cost:saving opportunities in line with the policies and standards of the company : Leads and participates in the peer review and quality assurance of project architectural artifacts across the EA group through governance forums : Defines and manages standards, guidelines, and processes to ensure data quality : Works with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions : Evaluates and recommends emerging technologies for data management, storage, and analytics : Design, create, and implement logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets : Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions : Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models : Create entity:relationship diagrams (ERDs), data flow diagrams, and other visualization tools to represent data models : Collaborate with database administrators and software engineers to implement and maintain data models in databases, data warehouses, and data lakes : Develop data modeling best practices, and use these standards to identify and resolve data modeling issues and conflicts : Conduct performance tuning and optimization of data models for efficient data access and retrieval : Incorporate core data management competencies, including data governance, data sec