Sr Data Architect

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Date: Jun 7, 2025

Location: Pune, MH, IN

Company: HMH

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 www.hmhco.com

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

• 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 security and data quality
  
  

Education

Job Requirements

• A bachelor’s degree in computer science, data science, engineering, or related field
  
  

Experience

• At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives
• Experience leading projects involving data warehousing, data modeling, and data analysis
• Design experience in Azure Databricks, PySpark, and Power BI/Tableau
  
  

Skills

• Ability in programming languages such as Java, Python, and C/C++
• Ability in data science languages/tools such as SQL, R, SAS, or Excel
• Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks)
• Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata
• Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques
• Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture
• Ability to assess traditional and modern data architecture components based on business needs
• Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau
• Ability to regularly learn and adopt new technology, especially in the ML/AI realm
• Strong analytical and problem-solving skills
• Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings
• Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders
• Ability to guide solution design and architecture to meet business needs
• Expert knowledge of data modeling concepts, methodologies, and best practices
• Proficiency in data modeling tools such as Erwin or ER/Studio
• Knowledge of relational databases and database design principles
• Familiarity with dimensional modeling and data warehousing concepts
• Strong SQL skills for data querying, manipulation, and optimization, and knowledge of other data science languages, including JavaScript, Python, and R
• Ability to collaborate with cross-functional teams and stakeholders to gather requirements and align on data models
• Excellent analytical and problem-solving skills to identify and resolve data modeling issues
• Strong communication and documentation skills to effectively convey complex data modeling concepts to technical and business stakeholders
  
  

HMH Technology Private Limited is an Equal Opportunity Employer and considers applicants for all positions without regard to race, colour, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. We are committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit https://careers.hmhco.com/. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

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