Senior Data Modeler - Erwin
Posted on: 08/05/2026
Job Description
Description :
We are seeking a highly experienced Sr Data Modeler to join the Data Architecture team at Titan's Corporate Office in Bangalore. The ideal candidate will have 5 to 7 years of experience in data modelling and architecture with deep expertise in AWS cloud stack, data warehousing, and enterprise data modelling tools.
This individual will be responsible for designing and creating enterprise-grade data models and driving the implementation of Layered Scalable Architecture or Medallion Architecture to support robust, scalable, and high-quality data marts across multiple business units.
This role will involve managing complex datasets from systems like PoS, ERP, CRM, and external sources, while optimizing performance and cost. You will also provide strategic leadership on data modelling standards, governance, and best practices, ensuring the foundation for analytics and reporting is solid and future ready.
Key Responsibilities :
- Design and deliver conceptual, logical, and physical data models using tools like ERWin.
- Implement Layered Scalable Architecture / Medallion Architecture for building scalable, standardized data marts.
- Optimize performance and cost of AWS-based data infrastructure (Redshift, S3, Glue, Lambda, etc.).
- Collaborate with cross-functional teams (IT, business, analysts) to gather data requirements and ensure model alignment with KPIs and business logic.
- Develop and optimize SQL code, materialized views, stored procedures in AWS Redshift.
- Ensure data governance, lineage, and quality mechanisms are established across systems.
- Lead and mentor technical teams in an Agile project delivery model.
- Manage data layer creation and documentation: data dictionary, ER diagrams, purpose mapping.
- Identify data gaps and availability issues with respect to source systems
Required Skills :
- Bachelors or master's degree in computer science , IT, or related field (B.E./B.Tech/M.E./M.Tech/MCA).
- Minimum 5 years of experience in data modeling and architecture.
- Proficiency with data modeling tools such as ERWin, with strong knowledge of forward and reverse engineering.
- Deep expertise in SQL (including advanced SQL, stored procedures, performance tuning).
- Strong experience in data warehousing, RDBMS, and ETL tools like AWS Glue, IBM DataStage, or SAP Data
Services.
- Hands-on experience with AWS services : Redshift, S3, Glue, RDS, Lambda, Bedrock, and Q.
- Good understanding of reporting tools such as Tableau, Power BI, or AWS QuickSight.
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Posted by
124
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1634567
