Data Modeler

Posted:
4/20/2026, 12:49:08 AM

Location(s):
Indore, Madhya Pradesh, India ⋅ Madhya Pradesh, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Data & Analytics

Project Role : Data Modeler
Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Modeler, a typical day involves engaging closely with various stakeholders including business representatives, data owners, end users, application designers, and data architects. The role focuses on understanding existing data structures and designing new data models that align with business needs and technical requirements. This position requires continuous collaboration and communication to ensure that data models are accurate, efficient, and support the organization's objectives. The Data Modeler plays a vital role in bridging the gap between business goals and technical implementation by translating complex requirements into structured data solutions.

Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to ensure data models are scalable, maintainable, and aligned with enterprise architecture standards.
- Facilitate knowledge sharing and mentoring within the team to enhance overall data modeling capabilities.
- Coordinate with cross-functional teams to integrate data models into broader data management and analytics initiatives.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Experience in designing and implementing complex data models that support business intelligence and analytics.
- Strong understanding of data warehousing concepts and best practices.
- Ability to work with large datasets and optimize data structures for performance and scalability.
- Familiarity with data governance principles and ensuring data quality throughout the modeling process.
- Skilled in collaborating with technical and non-technical stakeholders to gather requirements and translate them into effective data models.

Additional Information:
- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Indore office.
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

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