Sr.Staff Engineer – Data Modeler and Analyst at The TJX Companies, Inc. in Hyderabad, TS 500081

Job description

• What you’ll discover
• Inclusive culture and career growth opportunities
• A truly Global IT Organization that collaborates across North America, Europe, Asia and Australia, click here to learn more
• Challenging, collaborative, and team-based environment
• What you’ll do

Responsibilities

• The Global Stores Solution Delivery organization within TJX IT is responsible for delivering technology solutions to drive growth, enable efficiency, and improve customer experience at the front-line in our stores.
• We are expanding our organizational footprint, and need your help to accomplish our vision! You will have a real opportunity to be a part of driving over $50B in annual revenue and make our stores a destination that our customers love.
• The Data & Analytics function thrives on strong relationships with our business partners and working diligently to address their needs, which support TJX growth and operational stability. On this tightly knit and fast-paced solution delivery team, you will be constantly challenged to stretch and think creatively.
• As we expand our capabilities, we are growing our presence in India to include a new focus on Data Analytics. Associates in India will work closely with global teams to mature and scale our services.
• What you’ll need
• We are seeking a Sr. Staff Engineer to lead data and analytics strategy for Global Stores, enabling data-driven decisions at scale across a $50B+ retail ecosystem.
• The Data Modeler is responsible for designing, developing, and maintaining enterprise data models that support analytics, reporting, operational systems, and data governance initiatives. This role works closely with business stakeholders, data architects, data engineers, and analysts to ensure data is structured, governed, and optimized for business consumption.
• Design conceptual, logical, and physical data models for enterprise data platforms.
• Translate business requirements into scalable data structures and schemas.
• Build mapping documents and Document technical requirements
• Develop dimensional models, data marts, and warehouse models for analytical use cases.
• Partner with Data Engineering teams to implement data models in cloud and on-premises environments.
• Define data standards, naming conventions, and modeling best practices.
• Collaborate with business teams to understand data requirements and data relationships.
• Support data governance, metadata management, and data lineage initiatives.
• Optimize data models for performance, scalability, and maintainability.
• Participate in architecture reviews and data platform modernization efforts.
• Ensure compliance with enterprise security and regulatory requirements.

Requirements

• Bachelor’s Degree or equivalent Engineering skillset / training / work experience in relevant technical domain
• 14+ years of strong experience in data modelling and database design
• Strong knowledge of relational, dimensional, and data warehouse modeling techniques.
• Experience with SQL and database platforms such as SQL Server, Oracle, Snowflake, Databricks, or PostgreSQL.
• Experience with data modeling tools such as ERwin, ER/Studio, SAP PowerDesigner, or similar.
• Strong understanding of ETL/ELT processes and data integration concepts.
• Leads discussions on design approaches to solving visible, strategic and complex business problems.
• Identifies emerging technologies for consideration for new technology direction and implements proof of concepts to prove the new technology.
• Maintains broad knowledge in the business applications / services that comprise a given technical domain.
• Provides technical subject matter expertise and insight related to the business applications in a given technical domain.
• Acts in Lead Engineer capacity for medium to large initiatives, prioritizing and assigning tasks, providing guidance and resolving issues.
• Design, code, test, deploy & support working software /technology component, working collaboratively with architects and other engineers.
• Strong communication and influence skills. Solid team leadership with mentorship skills
• Shows a positive, open-minded and can-do attitude
• Data Modeling
• Data Warehouse Design
• Database Architecture
• Data Governance
• Metadata Management
• Dimensional Modeling
• Analytical Thinking
• Stakeholder Management
• Problem Solving
• Tools : ERwin, ER/Studio, Power Designer
• AWS / GCP /Azure / DataBricks
• Python, PySpark, Fabric

Skills

Preferred

• AWS / GCP /Azure / DataBricks
• Python, PySpark, Fabric