Fabric Analytics Data Modeler

Sealed Air Corporation; Mumbai; On-site; INR 1,800,000 - 2,700,000; Full time

Job summary

Sealed Air Corporation in Mumbai seeks a Senior Semantic Data Modeler to design, develop, and maintain governed semantic models on Microsoft Fabric, with emphasis on star-schema data structures and analytics-ready datasets.

You will work with Power BI semantic models and modern analytics frameworks (Python, Streamlit) to prototype dashboards, while applying medallion architecture for trusted data flows and scalable performance.

Qualifications

• 5+ years in data engineering, analytics engineering, semantic modeling, or data modeling roles.
• Strong experience with SQL, Python, dimensional modeling, and cloud-based data platforms.
• Hands-on with high-volume datasets and analytics-ready data products.
• Knowledge of semantic modeling, star-schema design, measures, hierarchies, and data governance.
• Experience with Microsoft Fabric, Lakehouses, Power BI semantic models or similar architectures.
• Comfortable working independently and making design decisions.

Responsibilities

• Design, implement, and maintain governed semantic models and dimensional data structures on Microsoft Fabric Lakehouses.
• Build and maintain star-schema models, business-friendly measures, relationships, hierarchies, and reusable analytics datasets.
• Apply medallion architecture principles to ensure clean, performant, trusted, and governed data flows into semantic layers.
• Collaborate with analysts, developers, and business teams to translate business requirements into scalable semantic models and modern analytics solutions.
• Support and prototype modern visualization frameworks to expand beyond traditional BI tools when appropriate.
• Optimize semantic models, queries, and analytics solutions for performance, scalability, and reliability.
• Work independently to solve complex modeling and data interpretation problems with minimal hand-holding.

Skills

SQL

Python

Dimensional modeling

Data governance

Independent work

Tools

Microsoft Fabric

Power BI

Lakehouses

Job description

Fabric Analytics Data Modeler

Sealed Air designs and delivers packaging solutions that protect essential goods transported worldwide, preserve food, enable e-commerce and digital connectivity, and help create a global supply chain that is touchless, safer, less wasteful, and more resilient. We strive to foster a caring, high-performance growth culture that will deliver consistent, sustainable profitable growth and accelerate our performance – a culture where accountability is clear and aligned, and where we reward business outcomes and impact. That culture guides everything we do, including how we partner with our customers and suppliers, how we attract and retain top talent, and how we create and deliver value to our stakeholders. In 2025, Sealed Air generated $5.4 billion in sales and has approximately 16,100 employees who serve customers in 119 countries/territories. To learn more, visit www.sealedair.com.

We are building a central enterprise data platform on Microsoft Fabric and are looking for a Senior Semantic Data Modeler to design, develop, and maintain governed semantic models, dimensional data structures, and analytics-ready datasets while contributing to modern analytics and visualization solutions.

This is a hands-on role working with high-volume datasets, applying medallion architecture (Bronze/Silver/Gold), and developing semantic models and star-schema data structures. While Power BI is currently part of our reporting stack, the role also involves partnering on dashboards and analytical applications using modern frameworks like Python (Streamlit, Plotly, Dash) or lightweight web applications.

This position requires a self-starter with at least 5 years of experience, able to work independently and solve complex data modeling and analytics challenges with minimal guidance.

What are we looking for in you?

Key Responsibilities

• Design, implement, and maintain governed semantic models and dimensional data structures on Microsoft Fabric Lakehouses.
• Build and maintain star-schema models, business-friendly measures, relationships, hierarchies, and reusable analytics datasets.
• Apply medallion architecture principles to ensure clean, performant, trusted, and governed data flows into semantic layers.
• Collaborate with analysts, developers, and business teams to translate business requirements into scalable semantic models and modern analytics solutions.
• Support and prototype modern visualization frameworks to expand beyond traditional BI tools when appropriate.
• Optimize semantic models, queries, and analytics solutions for performance, scalability, and reliability.
• Work independently to solve complex modeling and data interpretation problems with minimal hand-holding.

Why do we need you ?

• 5+ years in data engineering, analytics engineering, semantic modeling, or data modeling roles
• Strong experience with SQL, Python, dimensional modeling, and cloud-based data platforms
• Hands-on experience with high-volume datasets and analytics-ready data products
• Strong knowledge of semantic modeling, star-schema design, measures, hierarchies, and data governance
• Experience with Microsoft Fabric, Lakehouses, Power BI semantic models, or similar modern data architectures
• Comfortable working independently and making design decisions

What are your core values?

• Integrity
• Determined
• Innovative
• Collaborative

Why work at Sealed Air?

We have a very diverse and inclusive culture. We invest in developing our people. You can hone your expertise and further develop your career with a global leader in packaging solutions. You will work with talented and creative professionals working in a collaborative environment that celebrates insatiable curiosity and diverse ideas. If you are looking for a new challenge in a company deemed as essential service, then we want to hear from you! You must have a work-rights to be considered for this job. A detailed job description is available.

Relocation: No

Sealed Air is committed to attracting, selecting, and developing talent that reflects the diversity of the communities and customers we serve. We take pride in our selection process to identify, infuse, and grow talent to align with our culture, values, and norms. Sealed Air prioritizes talent development, fostering a culture of continuous growth and career progression. The company is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state and local laws.

• Please be cautious of fraudulent recruiting efforts using the Sealed Air name or logo. Sealed Air will never request private information during the application process, such as a Driver's License or Social Security Number. If you have any concerns about information received from SEE during the application process, please reach out to us directly at [e-mail].