Senior Data Modeler

4 weeks ago

Pune, Maharashtra, India ElementSkill Full time

We are seeking a highly skilled Senior Data Modeler to lead the design, governance, and optimization of enterprise data models within our Data & Analytics platform. In this role, you will develop scalable, modular, and business-aligned models that serve as the foundation for analytics and reporting across multiple regions and clients.

Working closely with data engineering, BI, and business stakeholders, you will ensure accurate embedding of business logic, semantic consistency, and the creation of high-performing, secure, and compliant data structures. You will also play a vital role in translating complex business requirements into robust technical models that enable effective decision-making and insight generation.

Required Skills & Experience :

- 5+ years of experience in data modelling, including 3+ years in a senior/lead role.

- Strong expertise in designing enterprise-level data models on cloud data platforms (Snowflake preferred).

- Proficiency in SQL, including Snowflake-specific features (streams, tasks, dynamic tables).

- Knowledge of data warehouse design patterns (dimensional, Data Vault, etc.).

- Hands-on experience with DevOps practices Familiarity with metadata management, data lineage, and cataloguing tools.

- Strong knowledge of data privacy, governance, and RBAC best practices.

- Excellent communication, stakeholder management, and workshop facilitation skills.

- Bachelors degree in Computer Science, Data Management, or related field.

Desired Attributes :

- Consultative and collaborative mindset.

- Strong problem-solving skills with attention to detail.

- Positive attitude, adaptability, and ability to work in fast-paced environments.

- High levels of energy, determination, and a sense of ownership.

Key Responsibilities :

- Design, implement, and maintain scalable and modular data models for Snowflake, with region- and country-specific extensions.

- Define, document, and approve changes to enterprise data models, embedding business logic into structures.

- Conduct data modelling workshops to gather requirements and align business, BI, and engineering teams.

- Provide technical guidance, assign modelling-related tasks, and review developer outputs.

- Optimize models for performance, data quality, and governance compliance.

- Collaborate with BI teams to ensure semantic consistency and enable self-service analytics.

- Ensure adherence to data security, RBAC, and compliance best practices.

- Use DevOps tools such as Git/Bitbucket for version control of data models and artefacts.

- Maintain documentation, metadata, and data lineage.

- (Preferred) Leverage ETL/ELT tools such as Matillion, DBT, Talend, or Azure Data Factory for integration workflows.

What We Offer :

- Opportunities for personal and professional growth in leadership, technical, and commercial skills.

- A career path within a global, high-growth environment.

- A collaborative and vibrant work culture focused on innovation and transformation.

- Competitive compensation and benefits package.

- An opportunity to make meaningful impact through data-driven solutions.

(ref:hirist.tech)

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