Data Engineer - Senior 7 (Data Modeler)
Sourceo8+ yrsPuneOn-siteDirect career pageEst. 28–45 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, governance, and continuous evolution of enterprise data models and data products ensuring alignment with architecture standards and business needs.
- Design and deliver reliable, high-performance data engineering solutions including ingestion, transformation, integration, and orchestration pipelines across cloud platforms.
- Collaborate with Data Engineers, Solution Engineers, and Business Stakeholders to translate requirements into governed, AI-ready data products following Data-as-a-Product principles and governance practices.
Minimum Requirements
- 8+ years of experience in enterprise data modelling and data engineering for large-scale data warehouses and enterprise data products on modern cloud platforms.
- Bachelor's degree in Computer Science, IT, Data Analytics, Engineering, or related field; Master's degree preferred.
- Strong expertise in conceptual, logical, physical data models, dimensional modelling, Data Vault, and enterprise data architecture standards.
- Hands-on experience with Snowflake, Databricks, SQL, Matillion, dbt, and Power BI including building scalable data pipelines and integration solutions.
Ideal Candidate Profile
- Demonstrated ability to lead technical design and data model reviews and enforce enterprise-wide modelling, engineering, and governance best practices.
- Experience with Data-as-a-Product operating models and creating AI-ready data platforms to support advanced analytics and GenAI initiatives.
- Strong collaboration skills evidenced by working with multi-disciplinary teams (Solution Engineers, Architects, Business) to develop scalable data products and enforce governance.