Data Modeling Expert (Junior–Mid Level) - BI Datawarehouse
Bosch
8 - 10 years
Bengaluru
Posted: 20/11/2025
Job Description
Company Description
Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
Job Description
Overview:
We are seeking a highly motivated Data Modeling Expert to design and maintain conceptual and logical data models forming the foundation of Bosch’s digital and AI initiatives.
You will translate complex business requirements into structured, reusable, and scalable data models that drive analytics, reporting, and operational efficiency.
This role bridges the business and technical teams — ensuring that data structures reflect business semantics, support governance, and enable long-term interoperability.
Key Responsibilities
1. Data Modeling & Design
Design and maintain conceptual and logical data models that accurately capture business entities, relationships, and attributes.
Translate business processes and KPIs into structured data models supporting analytics and AI.
Collaborate with data engineers to support physical model realization.
Ensure alignment with enterprise data modeling standards, naming conventions, and metadata rules.
Maintain data dictionaries, ER diagrams, and semantic definitions for each domain.
2. Business Alignment
Engage with business stakeholders to capture and refine data requirements.
Serve as a bridge between business experts and data engineers to ensure consistent understanding of data meaning and use.
Document lineage, usage, and semantic definitions to promote data transparency.
3. Quality & Governance
Ensure model consistency, data integrity, and compliance with Bosch data governance policies.
Support the adoption of data modeling best practices across domains and teams.
Participate in peer reviews and contribute to the improvement of data standards.
Required Qualifications
5–8 years of experience in data modeling, data analysis, or data product design.
Strong hands-on experience in conceptual and logical data modeling.
Proficiency in modeling tools such as Sparx EA, PowerDesigner, or ER/Studio.
Working knowledge of SQL and relational database concepts.
Familiarity with dimensional modeling and data normalization principles.
Preferred Skills
Exposure to data governance tools (Informatica EDC/IDMC, Collibra).
Awareness of cloud-based data platforms (Snowflake, Azure Synapse, Databricks).
Basic understanding of data lineage and metadata management.
Domain familiarity with manufacturing, engineering, or logistics data.
Key Competencies
Analytical and structured thinking.
Strong communication and documentation skills.
Detail-oriented with a focus on model reusability and clarity.
Collaborative mindset within agile teams.
Qualifications
Bachelor of Engineering / Computer science
About Company
Bosch is a global engineering and technology company headquartered in Germany, known for its wide-ranging innovations in automotive components, industrial technology, consumer goods, and building solutions. Founded in 1886 by Robert Bosch, the company has grown into one of the world’s largest suppliers of automotive electronics and mobility solutions, including advanced driver-assistance systems (ADAS), electric vehicle components, and powertrain technologies. Bosch is also a major player in home appliances, power tools, and smart building technologies. With a strong focus on sustainability, automation, and digital transformation, Bosch operates in more than 60 countries and runs one of the largest corporate R&D networks globally. In India, Bosch has a significant presence with multiple R&D and manufacturing centers, playing a key role in automotive innovation and Industry 4.0 initiatives.
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